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Computations In Social Networks
Sajid S Shaikh
Advisor: Javed I Khan
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Structure
lInt= roduction
lRel= ated Work
lRep= utation Assessment System
¡= Reputation Quantification System (RQS)
¡= Reputation Reasoning System (RRS)
¡= Reputation Based Social Computing
lSoc= ial Network Based Computations
¡= Classification
¡= Examples
lCon= clusion
The pr= esentation has been structured as follows.
It has= divided into two main components
   The Reputation Assessment S= ystem
   The Social Network Based Computations

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Introduction
<= span style=3D'font-size:56%'>lInternet is a virtual society. <= /div>
<= span style=3D'font-size:56%'>lSimilar to a real society internet has a number of communities.
= <= span style=3D'font-size:56%'>lCommunities are social knowledge reservoirs. <= /span>
<= span style=3D'font-size:56%'>lAn assessment system is required to query the know= ledge base.
<= span style=3D'font-size:56%'>lP2P systems are the best examples of a community on internet.
= <= span style=3D'font-size:56%'>lSocial Networking Websites (SNW) are latest P2P application.
<= span style=3D'font-size:56%'>lApplied the assessment system to SNWs.
Today,= internet is a society within a society. It’s a virtual world being inhabited by people from varied backgrounds and interests. It is slowly but surely behaving and evolving similar to an actual society involving social interactions.

As the= members of an society grow, they is a natural tendency for group formation within the society. These are called communities. Thus, a community is a tighter and more cohesive social entity within the context of the larger society.

The pe= ople within the same community know a lot about each other.

But ho= w do we tap this knowledge reservoir to know about the social status of a person X. We define social status based of social properties such as reputation, trustworthiness etc. Thus we need some kind of an assessment system to compute these social properties.

The be= st analogy for a community on the internet are the P2P communities. The basic founding principle of P2P system is a sense of community living where knowledge is shared seamlessly within members.

Social= Networking Websites are the fastest growing application of a P2P system and our work uses these SNWs extensively.
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Orkut &= amp; LinkedIn
Corporate social networking.
1,000,000
SelectedMinds
Real Estate Investor= s and Professionals.
2,000,000
Sporzoo
Used mostly for fun = and blogging.
54,000,000
MySpace
Designed for = professionals and adults.
6,000,000
LinkedIn
Designed specifically for friends and family.
22,000,000
Orkut
User Base
Members
Network
Orkut = - Orkut is a website designed specifically for friends and family. The whole thrust of Orkut is to make the conversation with friends and family more upbeat and fun.

Linked= In - Social networking service geared towards professionals.

There = are a number of such websites and the table gives us an idea of a few such websites.
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X+JTdATF2T2LiVCDynO/oaoDo0UvitGMarQBxxSmRPdJUdd1VJoPjahJMdhQnpV0iiGV3UixmVBq tlR6L/VmTM05U+vVlJwrzWJOtbdTdd40oD/1XlDtOVRNCpSER/1nT9VYVAI2taD0SynQnkrHqCJw qg5NKimXikKuqtSrrgQrDcV6VbLi0qxXRCvRAKpUrULQrU5TqzLZ6karvhWrfpQrBekqNb4i0q8c BKzVBJtPiKLUsFqD61cJe0PGkg2xmISsEDeK2cxqdrO2KgAAOw== ------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0031.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Reput= ation Assessment System Overview
lThe reputation assessment system consists of two <= /span>components
<= span style=3D'font-size:74%'>¡RQS : Derives reputation between directly connected nodes.
<= span style=3D'font-size:78%'>lGeneric reputation quantification function
l4 canonical classes of the function with real life correspondence
Fading Memory Averaging
Memory Less Summation
Fading Memory without Opinion Credibility
Memory Less Averaging
<= span style=3D'font-size:70%'>¡RRS : Derives reputation between dispersed nodes&#= 13;
l
<= span style=3D'font-size:66%'>lReputation based social computing
¡
I woul= d discuss what factors should be considered while calculating reputation.

The va= rious flavors of the reputation function

Due to= time constraints I wont be discussing the reputation based social computing examples.
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Related Work
lGupta, Judge, and M. Ammar proposed system is specifically for peer-to-peer systems. The system calculates the reputation based on variables which are specific to P2P systems and hence the sy= stem cannot be applied in oth= er interaction based environments.
l
<= span style=3D'font-size:56%'>lDamiani, Vimercati et.al. even though they incorpo= rate community into their reput= ation function they do not take into consideration the credibility of the opinion.
l
<= span style=3D'font-size:56%'>lEcommerce websites such as eBay©, Yahoo© auction and Ama= zon© use a feedback based reputation system which is a simple memory less summation system .
l
<= span style=3D'font-size:56%'>lMarti and Garcia-Molina propose a reputation syste= m for a peer-to-peer envir= onment, but their threat model only considers one class of attacks in which a malicious group is trying to work against = the system. Their system is a s= imple voting system.
1.Variables specific to P2P systems.
2.Credibility of opinion ignored.
3.Simple summation function
4.Model not thoroughly tested for different attack sc= enarios
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Reput= ation Assessment System Structure
l
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lReputation Quantification System
<= span style=3D'visibility:hidden'>l
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lReputation Reas= oning System
<= span style=3D'visibility:hidden'>l
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lNotation
<= span style=3D'visibility:hidden'>l
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Reputation Quantification System
<= span style=3D'font-size:71%'>lEstimates reputation
l
<= span style=3D'font-size:71%'>lAny transaction consists of 3 sets
¡Producer
¡Product
¡Consumer
¡
<= span style=3D'font-size:71%'>lWith respect to reputation
¡Producer: Opinion provider
¡Product : Reputation
¡Consumer : Individuals who use the <= span style=3D'position:absolute;top:53.33%;left:6.2%;width:79.45%;height:50.0%'= >reputation to make decisions.
¡
¡
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Social Factors Impacting Individuals Reputation
<= span style=3D'font-size:56%'>lWhat does someone has to say about the individual – opinion
<= span style=3D'font-size:56%'>lWhat is social standing of that someone – reputation
lHow lo= ng ago was this opinion expressed – age of opinion
lHow ma= ny people are saying something about the individual – number
lWhat k= ind of group of people is expressing these opinions – group rating
lAll th= ese factor not considered all the time some are omitted – impact = variable
lSome m= ay have more effect than others – impact weight
l
------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0032.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Gener= ic Reputation Function (GRF) imp
<= span style=3D'font-size:50%'>lFactors Influencing Reputation Computation
¡= Opinion (O)
¡= Reputation of Opinion Provider (R)
¡= Age of the Opinion (T)
¡= Number of Transactions (N)
¡= Group Reputation (W)
¡= Impact Parameters
lImpact Variable (X)
lImpact Weight (α)
lStabilizing Factors
¡Decay Rate (λ)
¡Stable Value (Φ)
&ie= xcl;
1.Opinion – It is an evaluation of the goodness= of a peer. In any collaborative community, a feedback is an indicator of how efficiently and honestly, a peer carried out his side of the interaction.= In many popular online system reputation is a simple summation function. Reputation of a person with 20 good transaction is same as that of one wi= th 21 good and 1 bad transaction. Thus a simple summing does not help=
2.Reputation – No distinction between opinion p= rovider. Priest and thief example.
3.Age of Opinion - Age means the freshness of the opi= nion. A model must have some way to gradually decay the impact of the opinions, as they get older. Due to the aging factor in our system a peer cannot sit on his past laurels and start misbehaving ,because his recent opinions would= be the ones which impact his reputation the most rather than the older ones<= /font>
4.Number of Transaction - Make a averaging function. = Give 21 and 20 example.
5.Group Reputation – Group reputation is consid= ered when a highly reputed individual joins a bad group. Since his personal reputation will be affected due to the misbehavior of other members he wo= uld encourage then to be honest.
6.Impact Parameters – Direction of effectivenes= s of each variable and its impact on the overall reputation calculation.
7.Decay Rate – The rate at which the opinions w= ould get older.
8.Stable value – Initial reputation and to stab= ilize the reputation to a certain value if nobody is expressing any opinion.

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Different Scenarios
lAre all variable (R,T,N,W) are valid in all scenarios ?
<= span style=3D'font-size:56%;visibility:hidden'>l&#= 13;
lTable shows the 4 main scenario = examples which have real life = correspondence.
<= span style=3D'font-size:56%;visibility:hidden'>l&#= 13;
<= span style=3D'font-size:56%;visibility:hidden'>l
1
1
1
0
University  ~ Students
0
1
0
1
University ~ Faculty<= /span>
1
1
1
0
Automobile ~ Buyer
1
1
1
1
Automobile ~ Mechanic=
1
0
0
1
Automobile ~ Manufacturer
1
1
1
0
Satellite ~ Satellite Service User
0
1
0
1
Satellite ~ Space Agency
1
1
1
0
Protocol ~ Users
1
1
1
1
Protocol ~ Companies<= /span>
1
1
1
1
Course Material ~  Other Teachers <= /span>
1
0
0
1
Course Material ~  Preparing = Teachers <= /span>
1
1
1
0
Course Material ~ Student
1
1
1
1
Article ~ Reader
0
1
0
1
Article ~ Journal
1
0
0
1
Article ~ Writer
0
1
1
1
Article ~ Reviewer
0
1
1
1
Movie ~ Critics
1
1
1
0
Movie ~ Viewers
1
0
0
1
Book ~ Author<= span style=3D'mso-bidi-font-family:"Times New Roman"'>
1
1
1
1
Book  ~ Reader
W
N
T
R
Target ~ Evaluator
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Canonical Classes of GRF
<= span style=3D'font-size:57%'>lGRF can be applied to different environments. =
l
<= span style=3D'font-size:57%'>lEvery environment has different requirements. =
l
l Tabl= e shows the various real life combinations possible for the customizable variables
l
<= span style=3D'font-size:57%'>lThere are four broad classes of the GPF
<= span style=3D'font-size:61%'>¡Fading Memory Averaging
<= span style=3D'font-size:61%'>¡Memory Less Summation<= span style=3D'font-size:61%'>
<= span style=3D'font-size:61%'>¡Fading Memory without Opinion Credibility
<= span style=3D'font-size:61%'>¡Memory Less Averaging
¡
1
0
1
Article ~ Journal
1
1
0
Movie ~ Viewers
0
0
1
Book ~ Author
1
1
1
Book&nbs= p; ~ Reader
N
T
R
Target ~ Evaluator
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A Fadi= ng Memory Averaging Function
l
lValid Variables
¡= Reader’s individual Reputation (R)
¡= Reader’s opinion (O)
¡= How fresh is the Opinion (T)
¡= Number of Readers
¡
l
l
1
1
1
Book&nbs= p; ~ Reader
N
T
R
Target ~ Evaluator
1.The function consists of two parts.
2.The first part is the average amount of rating a pe= er receives for his transaction.
3.The second part takes care that the reputation does= not drop to zero with time.
4.This would happen if a peer does not indulge in any transactions for a long period.
5.R – Distinguish between a professor and a cas= ual reader
6.T – Buyer wants to know the current reputatio= n of the book


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A M= emory Less Averaging Function
l
l
lValid Variables
¡= Faculty’s Opinion (O)
¡= Faculty’s Reputation (R)
¡= Number of Opinions (N)
¡
1
0
1
University ~ Faculty
N
T
R
Target ~ Evaluator
1.This scenario arises when the reputation of the eva= luator depends upon the reputation of the target
2.R – Opinion of a senior faculty over a junior= one
3.N – Averaging the reputation

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A F= ading Memory Averaging Function without Opinion Credibility
l
lValid Variables
¡= Viewer’s Opinion (O)
¡= Age of Opinion (T)
¡= Number of Opinions (N)
¡
¡
¡
1
1
0
Movie ~ Viewers
N
T
R
Target ~ Evaluator
1.This scenario arises where the reputation of the op= inion providers have the same reputation
2.The viewers have fairly the same reputation.=

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A Memory Less Summation Function
l
l
lValid Variables
¡= Authors Opinions (O)
¡= Authors Reputation (R)
¡
0
0
1
Book ~ Author
N
T
R
Target ~ Evaluator
1.The evaluator is the producer
2.The Number of opinions are not considered since the producer does not change his opinion.

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Notation
<= span style=3D'font-size:50%'>lEi – Unique entity in super set E
<= span style=3D'position:absolute;top:0%;left:7.63%;width:92.36%;height:100.0%'><= span style=3D'font-size:50%'>lEntities form various sets (A,B,C…)
= <= span style=3D'font-size:50%'>lEi belo= ngs to various sets.
<= span style=3D'font-size:50%'>lAàB d= enotes existence of relationship between A & B.
lMr<= /span> =3D = A X B denotes relationship matrix between the set members.
lMr<= /span>i<= /span> R= 11; represents relationships of set A’s members
lMIj= – represents relationships of B’s jth= member with all members of A
l
E1
E2
E4
E3
E
A
B
E4
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Relationship Reasoning System
lSet of operations on relationship matrix M
lRelationship operations
¡= Equivalence : M =3D N
¡= Reflection : R =3D MT
¡= Synthesis : S =3D M x N
¡= Intersection : E =3D M N  
¡= Union : U =3D M U N  
¡= Exclusion : X =3D M θ N
¡= Dediagonization :
¡= Quantization :
lSet Operations
¡= Column Extraction : (ψ)
¡Row Extraction : (ρ)
¡Max Row : (ξ)
¡Max Column : (Φ)
¡Zero Column :(θ)
Set op= erations are for extracting the column and row names.

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Threats To Reputation Function
lAttack= ers : Always lie
¡= Average Group
¡= Good Group
¡= Bad Group
lEvalua= tors : Always honest
lTarget=
lOffend= er : Mostly honest but sometimes lies.
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Reputation Attacks Classification
lAttack= s have been classified into 4 types
l
lOne &#= 8211; One
¡= Vendetta - Fight between two individuals
¡= ;
lMany &= #8211; One
¡= Gang Attack - A group working against an individual
l
lOne &#= 8211; Many
¡= Dr Jekyll & Mr. Hyde - Dual behavior
¡= ;
lMany &= #8211; Many
¡= Mutual Boosting -  Two-attacker grou= ps join together to mutu= ally inflate reputations.
l
Mutu= al Boosting
Gang Attack
Ma= ny
Dr J= ekyll & Mr. Hyde
Vend= etta
On= e
M= any
O= ne
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Experimental Evaluation
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Vendetta
<= span style=3D'font-size:79%'>lSingle target and single attacker
<= span style=3D'font-size:79%'>lAttacker has random or high personal Reputation= 3;
<= span style=3D'font-size:79%'>lAttacking frequency is random
<= span style=3D'font-size:79%'>lGraphs - final Reputation against time of opinion&= #13;
<= span style=3D'font-size:79%'>lPersonal attack has a very limited or no damaging effect
<= span style=3D'font-size:79%'>lFading Memory Averaging Function graphs
AT
TG
EV
EV
EV
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Vendetta Graphs 1
Low<= /span>
Att= acker Opinion
High
Attacker Reputation
Rand= om
Evaluator Opinion
High
Evaluator Reputation
Behavior of Reputa= tion function when Attacker and Evaluators have high personal reputation=
Attack Period
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Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0043.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Vendetta Graphs 2
Low<= /span>
Attacker Opinion
Random
At= tacker Reputation
High=
Evaluator Opinion
Random
Evaluator Reputation
Behavior of Reputa= tion function when Attacker has low reputation and evaluators have random reputation
Attack Period
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Gang Attack
<= span style=3D'font-size:69%'>lGroup attacking a single target =
<= span style=3D'font-size:69%'>lAttack group has random or high personal Reputations.
<= span style=3D'font-size:69%'>lAttackers manage to bring down the reputation. = ;
<= span style=3D'font-size:69%'>lBut no permanent damage.
<= span style=3D'font-size:69%'>lFunction recovers itself.
<= span style=3D'font-size:69%'>lFading Memory Averaging Function graphs
AT
AT
AT
TG
EV
EV
EV
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Gang Att= ack Graph 1
Low<= /span>
Attacker Opinion
High
Attacker Reputation
High=
Evaluator Opinion
High=
Evaluator Reputation
Behavior of reputa= tion function when attackers and evaluators have high reputation
Attack Period
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Gang Att= ack Graph 2
Low<= /span>
Attacker Opinion
Random
Attacker Reputation
High=
Evaluator Opinion
High=
Evaluator Reputation
Behavior of reputa= tion function when attacker has random reputation and evaluators have high reputation
Attack Period
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Dr. Jekyll & Mr. Hyde
<= span style=3D'font-size:69%'>lDual conflicting behavior of a peer.
<= span style=3D'font-size:69%'>lThe peer develops a high reputation, then misbehaves
<= span style=3D'font-size:69%'>lEvaluator group penalizes him. <= /div>
<= span style=3D'font-size:69%'>lPeer’s reputation goes down.
<= span style=3D'font-size:69%'>lRecovers back to original value if peer indulges in honest transactions.
AT
TG
TG
TG
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Dr Jekyll & Mr. Hyde Graph 1
Low<= /span>
Penalty period Evaluator Opinion
High=
Normal period Evaluator Opinion
High
Evaluator Reputation
Behavior of reputa= tion function when evaluators have high reputation
Penalty Period
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Dr Jeky= ll & Mr. Hyde Graph 2
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Computations In Social Networks
Mutual Boosting
<= span style=3D'font-size:69%'>lGroups intentionally give high opinion to each other
<= span style=3D'font-size:69%'>lHigh reputed group’s reputation drops
<= span style=3D'font-size:69%'>lLow reputed group’s reputation rises
lEventu= ally all the groups have same reputation.
G1
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Mutual Boosting Graph
Behavior of reputa= tion function when one group has high reputation, one has average reputation and one has low reputation members
Low<= /span>
Aver= age
High=
R= eputation
O= pinion
High=
Member Group3
High=
Member Group 2
High=
Member Group 1
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MEMBER 0
MEMBER 1
MEMBER 2
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Social Network Based Computations
lSocial Profile Mining
lSocial Fabric Analysis
lSocial Linkage Analysis
lSocial Ranking Analysis
lPlacement Within a Community
1.The social based computation have been classified b= ased on the underlying algorithmic structure

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Social Profile Mining
lDefinition : The process of searching large vol= umes of data for hidden patterns, to predict future behavior
l
lUses: Geo-Profiling, Demographic information, Mark= et Analysis.
l
<= span style=3D'font-size:50%'>lSNW are a rich database of individual’s pers= onal and professional information.
l
lThis data can be subjected to descriptive and inferential statistical analysis.
l
lDescriptive: Mean, Mode & Standard Deviation&#= 13;
l
lInferential: Hypothesis testing, Estimation, Correlation, Regression.
l
lExamples:
¡Mining the cuisine and favorite movie sections of = Orkut
¡
¡
Infere= ntial statistics is used to model patterns in the data
------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Social Fabric Analysis
= lDefinition: Given a weighted graph G(V,E), and given furth= er one element v of V, find the strength of social property S on v for each v’ of V. =
<= span style=3D'font-size:50%;visibility:hidden'>l= 3;
<= span style=3D'font-size:50%'>lSocial Fabric analysis derives social properties u= sing primary relationships.
<= span style=3D'font-size:50%;visibility:hidden'>l= 3;
lPrimary relationships: father, mother, friend etc&= #13;
<= span style=3D'font-size:50%;visibility:hidden'>l= 3;
lSocial properties: Influence, status, reputation, trust.
<= span style=3D'font-size:50%;visibility:hidden'>l= 3;
lExample: Influence Propagation <= /div>
l
Deal w= ith the derivation of social properties in an individuals network using primary relationship chains

------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0016.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Influence 
<= span style=3D'font-size:50%'>lDefinition:” the act or power of producing an effect without apparent exertion of force= or direct exercise of command”=
lFactors affecting influence: I-factors
lAge Difference (F1)
¡  &= #13;
¡= Age determined from profile on SNW
lProxim= ity of Nodes (F2)
¡  = ;
¡= City , State and Country determined from SNW profile
lRelati= onship Type (F3)
¡ 
¡= Monitoring Interactions
lContact Frequency (F4)
¡  = ;
¡= Interaction Monitoring
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Influence
<= span style=3D'font-size:56%'>lContext (F5)
l
lInflue= ncing node’s Reputation (F6) = ;
&ie= xcl;
¡  = ;
&ie= xcl;
¡= Using RQS
&ie= xcl;
lTrust = (F7<= /span>)
¡= ;
¡  = ;
&ie= xcl;
¡= Using RQS
&ie= xcl;
lInflue= nce (I)
l
¡ 
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quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Influen= ce: Algorithmic Structure
<= span style=3D'font-size:57%'>l<= /span>Depth first traversal of network
<= span style=3D'position:absolute;top:0%;left:8.47%;width:91.52%;height:38.88%'><= span style=3D'font-size:57%'>lGo to next node if relationship link part of favorable links
<= span style=3D'position:absolute;top:0%;left:8.06%;width:91.93%;height:38.88%'><= span style=3D'font-size:57%'>lNext node should satisfy I-factors to continue traversal
<= span style=3D'position:absolute;top:0%;left:9.21%;width:90.78%;height:38.88%'><= span style=3D'font-size:57%'>l<= /span>Traversal length dependant on relationship chain
<= span style=3D'font-size:57%'>l<= /span>Mostly 3 hops
<= span style=3D'font-size:57%'>l<= /span>Time complexity is O(|v| + |e|)
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Influen= ce Derivation
George’s Social Network On Ork= ut
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Numbe= rs indicate F7 values
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Social Linkage Analysis
lDefinition: Given a graph G(V,E) , where each e= dge u,v denotes a rel= ationship r(u,v), we want to find the most effective relationship chain from source s to the sink t subject to certain constraints
<= span style=3D'font-size:56%;visibility:hidden'>l= 3;
<= span style=3D'font-size:56%'>lSource “s”  and Sink “t” are fixe= d
<= span style=3D'font-size:56%;visibility:hidden'>l= 3;
= lDetermine the relationship chain that maximizes probability of contact between s and t
<= span style=3D'font-size:56%;visibility:hidden'>l= 3;
lExample : Vested Socialite
------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0020.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Vested Socialite
lDefini= tion:” A person trying to force himself into o= ther people’s social network in order to achieve some objective”
l
lFactor= s for social insertion: V-factors
¡= Objective
¡= Constraining factors
¡= Direct influence
¡= Derived influence
¡= Relationship chain
¡= Hate list
¡= ;
------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0054.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Vested Socialite : Algorithmic Structure
lDeterm= ine path from s to t
lDrop p= ath if it contains hate list member
lDrop p= ath if it violates constraints.
lIf mor= e than 1 path , chose the one with highest contact probability
lSome favorable relationship chains:
¡= Friend{1,}
¡= Friend-Relative-Friend
¡= Relative-Friend{1,2}
¡= Relative-Friend-Relative
¡= Coworker-Friend,
¡= Coworker-Relative
l
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file:///C:/48D3CA54/FinalPPT_files/slide0055.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Vested Socialite
John is “s” and Victor is “t”
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John
Victor=
Gary
Steven=
David<= /div>
Frank<= /div>
Paul
Raj
ENEMY
SUBORDINATE
FRIEND
FATHER
FATHER
BOSS
FATHER
FRIEND
FRIEND
FRIEND
FRIEND
-John wants to secure a job in Microsoft Research
-He performs a search for Microsoft research on Link= edIn
-Victor Bahl, Manish Agarwal, Feng Zhao seem to be useful
-Victor Bahl is the most relevant since he is a Prin= cipal Researcher/Manager at Microsoft Research
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Favorable paths in blue. Unfavorable in red
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Social Ranking Analysis
lDefinition: Given a graph G(V,E), we want to determine the ranking of all v of V based on a social property P.
= <= span style=3D'font-size:56%'>lRanking algorithms are used while making decisions=
= <= span style=3D'font-size:56%'>lRanking changes with social property. <= /span>
<= span style=3D'font-size:56%'>lExample: Ranking based on Trust =
l
------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/slide0023.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Social Computations In Social Networks
Trust Based Ranking
<= span style=3D'font-size:64%'>lTwo groups are considered
l
<= span style=3D'font-size:64%'>lSink ranking group
<= span style=3D'font-size:70%'>¡Nodes that trust the target “t”
l
<= span style=3D'font-size:64%'>lSource ranking group
<= span style=3D'font-size:70%'>¡Nodes the target “t” trusts
¡
lFinal ranking is combination of source and = sink rankings.
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charset="us-ascii" Social Computations In Social Networks
Algorithm: Eigen Computation
<= span style=3D'font-size:56%'>lSink ranking
l
<= span style=3D'font-size:56%'>lSource ranking
l
= <= span style=3D'font-size:56%'>lGeneralized Equation
l
= <= span style=3D'font-size:56%'>lλ is an eigenvalue of T.=
= <= span style=3D'font-size:56%'>lThe eigenvalue determin= es the eigenvectors.
<= span style=3D'font-size:56%'>lThe eigenvectors repres= ent the rankings.
<= span style=3D'font-size:56%'>lEigenvalue and eigenvec= tor computation require O(n3) operations
T is t= he adjacency matrix
Lamda = is the eigen value of T
Solvin= g the equation for Lamda gives the eigen-values fro T
Substi= tuting the eigen values gives us eigen vectors.
O(n3)
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Community Placement
<= span style=3D'font-size:50%'>lDefinition: Community placement is the problem = of finding highly connected individuals within a community who could influence a majority of the community to = agree on or believe in an issue.
l
lPropagandist use a brute force method – meet= ing every individual
l
= <= span style=3D'font-size:56%'>lBetter approach is to influence a coterie
l
lExtension of social ranking with the extra task of finding the appropriate individuals.
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Multi-Faith Group
lGather= a group of individuals from varied faiths and use them to propagate religious tolerance. =
l
lThe individuals should satisfy the following conditions
¡= Should be from different faiths
¡= Should be highly connected
¡= Should have friends belonging to different faiths.
¡= ;
l
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Multi-Faith Group: Algorithm
<= span style=3D'font-size:56%'>lTwo main stages: ranking and propagation
l
= <= span style=3D'font-size:56%'>lRanking algorithm finds everyone’s ranking.&= #13;
l
<= span style=3D'font-size:56%'>lTop ranked individual sends agenda to his neighbor= s and the influencing power= is recorded.
l
<= span style=3D'font-size:56%'>lHe is then pruned from the graph.
l
<= span style=3D'font-size:56%'>lThe above step is repeated until a majority is influenced
l
= <= span style=3D'font-size:56%'>lTime complexity would be O(n3<= /span>) + O(|V|+|E|)
l
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Conclusion
<= span style=3D'font-size:69%'>lWe have presented a framework to represent and rea= son with general case of = social relationship network in a formal way.
<= span style=3D'font-size:69%'>lWe have provided an assessment system using which = the strength of relationship can be measured.
lWe provide a classification for the potential applications of the rich database that users of social networking websites are unknowingly creating and further enriching everyday.
<= span style=3D'font-size:69%'>lThe application classifications are substantiated = by providing complex examples= for each class. 
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Referen= ces
lGupta,  M., Judge, P., and Ammar, M.,( 2003) "A reputation system for peer-to-pee= r = networks" in NOSSDAV. pp 144 -152 =
lDamiani, E., De Capitani di Vimercati, S., Parabos= chi, S.,and Samarati, P., (2003)&= #8220;Managing and sharing servants’’ reputations in P2P systems”. IEEE= Transactions on Data and Knowledge Engineering.pp 840–854.
lMarti, S., and Garcia-Molina, H.,(2004). “Limited reputation sharing in P2P systems&#= 8221;. In Proc. of the 5th ACM confere= nce on Electronic commerce, New York, NY, USA, pp = 91-101,
lGambetta, D., (1988) “Trust making and break= ing cooperative relations”. New York: Blackwell
lMcKnight, D., & Chervany, N., (1996) “The Meaning of Trust”. University of Minnesota MIS Research Center Working Paper Series= , WP 96-104
lMcShane, S., (1995). Canadian Organization Behavio= r. Ottawa:Irwin.
lMeneses, J., (2004) “The Orkut.com case: a reflection on the exploration of new ways to online sociability in the tradition of the study of virtual communities= ”.
lXiong, L., and Liu, L.,. (2003). “A reputation-based trust model for peer-to-peer ecommerce communities”. IEEE Conference on E-Commerce (CEC'03). pp 275 – 281
lMalaga., R. A.,&n= bsp; (2001.). “Web-based reputation management systems: Problems a= nd = suggested solutions”. Electronic Commerce Research. pp 403 – 417
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<= span style=3D'visibility:hidden'>l
<= span style=3D'visibility:hidden'>l
<= span style=3D'visibility:hidden'>l
lTHANK YOU !!
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‹header›
‹date/time&= #8250;
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The presentation has been structured as follows.
It has divided into two main components
The Reputation Assessment System
The Social Netwo= rk Based Computations
To= day, internet is a society within a society. It’s a virtual world being inhabited by people from varied backg= rounds and interests. It is slowly but surely behaving and evolving similar to an= actual society involving social interactions. =
As the members of an society grow, they is a natural tendency for group formation within the society. These are called communities. Thus, a community is a tighter= and more cohesive social entity within the context of the larger society.
The people within the same community kn= ow a lot about each other.
But how do we tap this knowledge reservoir t= o know about the social status of a person X. We define social status based of social properties such as reputation, trustworthine= ss etc. Thus we need some kind of an assessment system to compute these social properties.
The best analogy for a community on the inte= rnet are the P2P communities. The basic fo= unding principle of P2P system is a sense of community living where knowledge is shared seamlessly within members. = ;
Social Networking Websites are the fastest g= rowing application of a P2P system and our work uses these SNWs extensively. 
Orkut - Orkut is a website desig= ned specifically for friends and family. The whole thrust of Orkut is to make = the conversation with friends and family more upbeat and fun.
LinkedIn - Social networking service geared towards professionals.= 3;
There are a number of such websites and the table gives us an idea of a fe= w such websites.
I would discuss what factors should be considered while calculating reputation.
The various flavors of the reputation function
Due to time constraints I wont be discussing the reputation based social c= omputing examples.
1.Variables specific= to P2P systems.
2.Credibility of opi= nion ignored.
3.Simple summation function
4.Model not thorough= ly tested for different attack scenarios
1.Opinion – It is an evaluation of the goodnes= s of a peer. In any collaborative community, a feedback is an indicator of how efficiently and honestly, a peer carried out his si= de of the interaction. In many popular o= nline system reputation is a simple summation function. Reputation of a person with 20 good transaction is= same as that of one with 21 good and 1 bad transaction. Thus a simple summing does not help
2.Reputation – No distinction between opinion provider. Priest and thief example.
3.Age of Opinion - Age means the freshness of the op= inion. A model must have some way to gradual= ly decay the impact of the opinions, as they get older. Due to the aging fact= or in our system a peer cannot sit on hi= s past laurels and start misbehaving ,because his recent opinions would be the ones which impact his reputa= tion the most rather than the older ones &= #13;
4.Number of Transaction - Make a averaging function.= Give 21 and 20 example.
5.Group Reputation – Group reputation is consi= dered when a highly reputed individual joins a bad group. Since his personal reputation will be affected due to the misbehavior of other members he would encourage then to be honest.
6.Impact Parameters – Direction of effectivene= ss of each variable and its impact on the o= verall reputation calculation.
7.Decay Rate – The rate at which the opinions = would get older.
8.Stable value – Initial reputation and to sta= bilize the reputation to a certain value if nobody is expressing any opinion.
9.
1.The function consi= sts of two parts.
2.The first part is t= he average amount of rating a peer receives for his transaction.
3.The second part tak= es care that the reputation does not drop to zero with time.
4.This would happen = if a peer does not indulge in any transactions for a long period.
5.R – Distingu= ish between a professor and a casual reader
6.T – Buyer wa= nts to know the current reputation of the book
= 1.
1.This scenario aris= es when the reputation of the evaluator depends upon the reputation of the target
2.R – Opinion = of a senior faculty over a junior one
3.N – Averaging the reputation
1.This scenario arises where the reputation of the opinion providers have the same reputation = ;
2.The viewers have fairly the same reputation.
1.The evaluator is t= he producer
2.The Number of opin= ions are not considered since the producer does not change his opinion.
3.
Set operations are for extracting the column and row names.
1.The social based computation have been classified based on the underlying algorithmic structure
2.
Inferential statistics is used t= o model patterns in the data
Deal with the derivation of soci= al properties in an individuals network using primary relationship chains
-John wants to secure a job in Microsoft Research
-He performs a search for Microsoft research on LinkedIn
-Victor Bahl, Manish Agarwal, Feng Zhao seem to be useful
-Victor Bahl is the most relevant since he is a Principal Researcher/Manager at Mi= crosoft Research
T is the adjacency matrix
Lamda is the eigen value of T
Solving the equation for Lamda gives the eigen-values fro T
Substituting the eigen values gives us eigen vectors.
O(n3)
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file:///C:/48D3CA54/FinalPPT_files/script.js Content-Transfer-Encoding: quoted-printable Content-Type: application/javascript; charset="us-ascii" function LoadSld() { var sld=3DGetObj("SlideObj") if( !g_supportsPPTHTML ) { =09 sld.style.visibility=3D"visible" return } if( MakeNotesVis() ) return runAnimations =3D _InitAnimations(); =09 if( IsWin("PPTSld") ) parent.SldUpdated(GetSldId()) g_origSz=3DparseInt(SlideObj.style.fontSize) g_origH=3Dsld.style.posHeight g_origW=3Dsld.style.posWidth g_scaleHyperlinks=3D(document.all.tags("AREA").length>0) if( g_scaleHyperlinks ) InitHLinkArray() if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) ) document.body.scroll=3D"no" _RSW() if( IsWin("PPTSld") && parent.IsFullScrMode() ) FullScrInit(); =09 MakeSldVis(); ChkAutoAdv() if( runAnimations ) { if( document.all("NSPlay") ) document.all("NSPlay").autoStart =3D false; if( sld.filters && sld.filters.revealtrans ) setTimeout( "document.body.start()", sld.filters.revealtrans.duration * = 1000 ); else document.body.start(); } } function MakeSldVis()=20 { var fTrans=3Dg_showAnimation && SldHasTrans() if( fTrans )=09 { if( g_bgSound ) { idx=3Dg_bgSound.indexOf(","); pptSound.src=3Dg_bgSound.substr( 0, idx ); pptSound.loop=3D -(parseInt(g_bgSound.substr(idx+1))); } SlideObj.filters.revealtrans.Apply()=09 } SlideObj.style.visibility=3D"visible" if( fTrans ) SlideObj.filters.revealtrans.Play() } function MakeNotesVis()=20 { if( !IsNts() ) return false=20 SlideObj.style.display=3D"none" nObj =3D document.all.item("NotesObj") parent.SetHasNts(0) if( nObj ) {=20 nObj.style.display=3D"" parent.SetHasNts(1) } return 1 } function ChkAutoAdv() { if(SldHasTrans()) SlideObj.onfilterchange=3DAutoAdv else AutoAdv() } function AutoAdv() { if(!IsWin("PPTSld") || !gUseSldTimings )return var sld=3DGetCurSld() if( (sld.mAdvDelay>0) && !parent.IsFramesMode() ) setTimeout("parent.GoToNextSld()",sld.mAdvDelay) } function GetObj(id) { if(g_supportsPPTHTML) return document.all(id); else return 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document.all.tags("seq"); if( collSeq !=3D null ) { for(ii=3D0;ii numSlds ) gSldJumpIdx =3D numSlds; if ( gSldJumpIdx >=3D 0 ) { if ( gSldJumpIdx =3D=3D 0 ) gSldJumpIdx =3D 1; var jumpTo =3D parseInt(gSldJumpIdx); gSldJump =3D 0; gSldJumpIdx =3D ""; win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref ) } } } function _KDH() { if( event.keyCode =3D=3D 8 ) { event.returnValue =3D 0; parent.GoToPrevSld(); } }function DocumentOnClick() { if( IsNts() || parent.HideMenu() ) return; if( ( g_allowAdvOnClick && (window.name=3D=3D"PPTSld") && !parent.IsFrames= Mode() ) || (event && event.keyCode=3D=3D32) ) { =09 if( g_animUseRuntime && g_animMainSequence && g_animMainSequence.cangonex= t ) return; parent.GoToNextSld(); } } var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""= , g_bgSound=3D"", g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser = =3D 0, gLoopCont =3D 0, gUseSldTimings =3D 1; var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w= indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va= r g_animManager =3D null; var g_animUseRuntime =3D false; var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime; var g_animMainSequence =3D null; var ENDSHOW_MESG=3D"End of slide show, click to exit.", SCREEN_MODE=3D"Fram= es", gIsEndShow=3D0, NUM_VIS_SLDS=3D56, SCRIPT_HREF=3D"script.js", FULLSCR_= HREF=3D"fullscreen.htm"; var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO= tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true window.gPPTHTML=3DSupportsPPTHTML() var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(= "slide0002.htm",1,-1,1),new hrefList("slide0003.htm",1,-1,1),new hrefList("= slide0058.htm",1,-1,1),new hrefList("slide0031.htm",1,-1,1),new hrefList("s= lide0057.htm",1,-1,1),new hrefList("slide0029.htm",1,-1,1),new hrefList("sl= ide0004.htm",1,-1,1),new hrefList("slide0064.htm",1,-1,1),new hrefList("sli= de0032.htm",1,-1,1),new hrefList("slide0065.htm",1,-1,1),new hrefList("slid= e0033.htm",1,-1,1),new hrefList("slide0034.htm",1,-1,1),new hrefList("slide= 0036.htm",1,-1,1),new hrefList("slide0035.htm",1,-1,1),new hrefList("slide0= 037.htm",1,-1,1),new hrefList("slide0063.htm",1,-1,1),new hrefList("slide00= 59.htm",1,-1,1),new hrefList("slide0038.htm",1,-1,1),new hrefList("slide003= 9.htm",1,-1,1),new hrefList("slide0040.htm",1,-1,1),new hrefList("slide0041= .htm",1,-1,1),new hrefList("slide0042.htm",1,-1,1),new hrefList("slide0043.= htm",1,-1,1),new hrefList("slide0044.htm",1,-1,1),new hrefList("slide0045.h= tm",1,-1,1),new hrefList("slide0046.htm",1,-1,1),new hrefList("slide0050.ht= m",1,-1,1),new hrefList("slide0051.htm",1,-1,1),new hrefList("slide0060.htm= ",1,-1,1),new hrefList("slide0061.htm",1,-1,1),new hrefList("slide0062.htm"= ,1,-1,1),new hrefList("slide0012.htm",1,-1,1),new hrefList("slide0013.htm",= 1,-1,1),new hrefList("slide0015.htm",1,-1,1),new hrefList("slide0016.htm",1= ,-1,1),new hrefList("slide0017.htm",1,-1,1),new hrefList("slide0018.htm",1,= -1,1),new hrefList("slide0052.htm",1,-1,1),new hrefList("slide0066.htm",1,-= 1,1),new hrefList("slide0053.htm",1,-1,1),new hrefList("slide0019.htm",1,-1= ,1),new hrefList("slide0020.htm",1,-1,1),new hrefList("slide0054.htm",1,-1,= 1),new hrefList("slide0055.htm",1,-1,1),new hrefList("slide0067.htm",1,-1,1= ),new hrefList("slide0056.htm",1,-1,1),new hrefList("slide0022.htm",1,-1,1)= ,new hrefList("slide0023.htm",1,-1,1),new hrefList("slide0024.htm",1,-1,1),= new hrefList("slide0025.htm",1,-1,1),new hrefList("slide0026.htm",1,-1,1),n= ew hrefList("slide0027.htm",1,-1,1),new hrefList("slide0028.htm",1,-1,1),ne= w hrefList("slide0069.htm",1,-1,1),new hrefList("slide0068.htm",1,-1,1)); /********************************************* Frameset functions These functions control slide navigation and state of the frameset. **********************************************/ function FullScrInit() { g_allowAdvOnClick =3D GetCurSld().mAdvOnClk document.body.style.backgroundColor=3D"black" document.oncontextmenu=3Dparent._CM; document.onkeydown =3D _KDH; document.ondragstart=3DCancel document.onselectstart=3DCancel self.focus() } function Redirect( frmId ) {=09 var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId() if(idx>=3D0) str=3Dstr.substr(1); if( window.name !=3D frmId && ( sId !=3D str) ) { obj =3D GetObj("Main-File") window.location.href=3Dobj.href+"#"+sId return 1 } return 0 } var MHTMLPrefix =3D CalculateMHTMLPrefix();=20 function CalculateMHTMLPrefix() { if ( document.location.protocol =3D=3D 'mhtml:') {=20 href=3Dnew String(document.location.href)=20 Start=3Dhref.indexOf('!')+1=20 End=3Dhref.lastIndexOf('/')+1=20 if (End < Start)=20 return href.substring(0, Start)=20 else=20 return href.substring(0, End)=20 } return ''; } function GetTags(base,tag) { if(g_supportsPPTHTML) return base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('


' + ENDSHOW_MESG + '

') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr= row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa= lue=3Dfalse } function Highlight() { ChangeClr("activecaption","threedhighlight") } function Deselect() { ChangeClr("threedface","menutext") } function Perform() { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) e.Action() else PPTSld.event.cancelBubble=3Dtrue } function ChangeClr( bg,clr ) { e=3DPPTSld.event.srcElement if( e.type=3D=3D"menuitem" && e.IsActive() ) { e.style.backgroundColor=3Dbg e.style.color=3Dclr } } function M_HasPrevSld() { return( parent.HasPrevSld() ) } function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() } function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();= PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() } function M_True() { return true } function M_End() { window.close( self ) } function CreateMenuItem( node,text,action,eval ) { var e=3DCreateItem( node ) e.type=3D"menuitem" e.Action=3Daction e.IsActive=3Deval e.innerHTML=3Dtext if( !e.IsActive() ) e.style.color=3D"threedshadow" e.onclick=3DPerform e.onmouseover=3DHighlight e.onmouseout=3DDeselect s=3De.style; 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charset="us-ascii" Social Computations In Social Networks ------=_NextPart_01C7F552.A95E9560 Content-Location: file:///C:/48D3CA54/FinalPPT_files/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
 No= tes
Slide Show
Outline
= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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