A Survey of Trust in Social Networks WANITA SHERCHAN, IBM Research-Australia SURYA NEPAL and CECILE...

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A Survey of Trust in Social Networks WANITA SHERCHAN, IBM Research- Australia SURYA NEPAL and CECILE PARIS CSIRO ICT Centre Presented by Jacob Couch

Transcript of A Survey of Trust in Social Networks WANITA SHERCHAN, IBM Research-Australia SURYA NEPAL and CECILE...

A Survey of Trust in Social Networks

WANITA SHERCHAN, IBM Research-AustraliaSURYA NEPAL and CECILE PARIS

CSIRO ICT Centre

Presented by Jacob Couch

Trust Definitions

Trust Definitions

Trust OriginTrust in Psychology● Trust is considered to be a psychological state of

the individual, where the trustor risks being vulnerable to the trustee based on positive expectations of the trustee’s intentions or behavior.

● Cognitive● Emotive● Behavioral

Trust OriginTrust in Sociology● Trust is considered to be a bet about the future

contingent actions of the trustee.● Considered a level of expectation within a group.● Cognitive● Behavioral● Emotive builds over time

Trust OriginTrust in Computer ScienceUser Trust●Inherently personalized●Based on previous experience●Direct Trust–Based on interactions between users of a system.–Strength is determined based on frequency.

●Recommended Trust–Experiences of Direct Trust are reflected to neighbors based on experience and sociability

Trust OriginTrust in Computer ScienceSystem Trust

●“The expectation that a device or system will faithfully behave in a particular manner to fulfill its intended purpose”–TPM

Trust Definitions

Trust Types/Facets● Calculative

● Relational

● Emotional

● Cognitive

● Institutional

● Dispositional

Trust Properties● Context Specific

● Dynamic

● Propagative

● Non-transitive

● Composable

● Subjective

● Asymmetric

● Self-reinforcing

● Event Sensitive

Calculative

● “Calculation on behalf of the trusted designed to maximize the trustor's stakes in the interaction”

● Typical economic model

Relational

● Trust built up over time.● Typically used in employee relationships

Emotional

● “The perceived outcome of direct interpersonal relationships [sic]”

Cognitive

● “Trust based on reason and relational behavior”– Information channels– Norms– Sanctions

● “Positive referrals … increase cognitive trust in the trustee”

Institutional

● “Trust derived from a provided environment that encourages cooperation and penalizes misbehaviors [sic]”

Dispositional

● “...over the course their lives, people develop generalized expectations about the trustworthiness of other people”

Properties of Trust

● Context Specific

● Dynamic

● Propagative

● Non-transitive

● Composable

● Subjective

● Asymmetric

● Self-reinforcing

● Event Sensitive

Context Specific

● “Trust is context specific in its scope”● Would you trust your mechanic to be your

dentist?

Dynamic

● “Trust can increase or decrease with new experiences”

● As a relationship decays, the amount of trust typically decreases

Propagative

● “Alice trusts Bob who in turn trusts John” – Alice can derive some amount of trust on John

● Trust can be based on the friend of a friend mode, but it is not transitive

Non-transitive

● “Alice trusts Bob who in turn trusts John” – This does not imply that Alice trusts Bob

Composable

● Alice trusts Bob and Charlie. Charlie trusts John. Bob trusts John– Trust through propagation can be composed to

create a greater trust.

Subjective

● Social trust is subjective to the rater.● If Alice thinks that Bob's opinions are good,

John may not think that Bob's opinions are good.

Asymmetric

● Trust is asymmetric between members of a relationship.– The amount that Alice trusts Bob is not the same

amount Bob trust Alice

Self-reinforcing

● “Members act positively with other members whom they trust.

● “if the trust between two members is low... it is unlikely that they will interact”

Event Sensitive

● “Trust take a long time to build, but a single high-impact event may destroy it completely”

Trust Models

● Statical/machine learning– Artificial Neural Networks– Hidden Markov Models

● Heuristics● Behavior based

Social Networks

Social Network Examples

Properties - Homophilly

● Social pattern to associate with similar others● Social properties include race, ethnicity, age,

religion, eduction, occupation...

Properties - Small-world phenomenon● The concept of the “Kevin Bacon” effect.

– All persons are connected within 6 degrees

FOAF - Friend of a Friend

● Most modern social networks use friend of a friend as a boundary of private information.

● The underlying, but not necessarily correct, assumption is that friendships are transitive.

Social Capital

● No universal agreeable definition● “. . . a collective resource that facilitates

cooperation at the small group level. . . . no longer resides with an individual but exists through relationships between actors . . . is based on the density of interactions . . . ”

Social Trust

● Aspect of social capital that represents cooperative infrastructure.

● “By analogy with notions of physical capital and human capital—tools and training that enhance individual productivity— ‘social capital’ refers to features of social organization such as networks, norms, and social trust that facilitate coordination and cooperation for mutual benefit.”

Process of Social Trust

Trust Information Collection● Attitudes● Behaviors● Experiences

Attitudes

● “And individuals degree of like or dislike”● Affect

– Emotional response that indicates personal preference

● Behavior– Tendency of an individual

● Cognition– Beliefs about an object

Experiences

● Perception of members through interactions● Must be measured through feedback

Behaviors

● Patterns of interactions● Trust is the community is measured by the

frequency of interaction

Evaluation of Social Trust

● Network Structure/Graph-Based Trust Models● Interaction-Based Trust Models● Hybrid Trust Models

Network Structure/Graph

Requires feedback from user on interactions● Golbek proposes FOAF rating on a scale of 1-9● Ziegler/Hang propose method to calculate trust

between two groups of people on aggregate of ratings● Caverlee proposes feedback rating mechanism after

each social interaction● Maheswaran proposes social trust based on ratings

plus social network connectivity

Interaction

Bases model purely on interactions of members● Nepal proposes model on popularity trust and

engagement trust● Adali proposes model based on conversation

trust and propagation trust

Hybrid

Combines Network structure and Interactions

Trust Dissemination

● Trust Based Recommendation Models– Provide per object recommendations to user

● Visualization– Provide visualization to user to show

trustworthiness of members for general consumption

Trust Definitions

Analysis

Analysis

Analysis Computer Science trust is normally

numerical and comparing against a threshold, Sociological and psychological responses should also be evaluated.

Properties such as asymmetry, self-reinforcement, and event sensitivity are typically not evaluated in the trust equation.

Areas for Future Research Evaluation of Tie-Strength Visualization of Trust

◦ Can be used to help service providers identify healthy and unhealthy networks

Resistance to malicious attacks in P2P systems

Conclusion

● Trust models in modern online social networks are still very primitive

● Human social network properties can be ported to online social, thus allowing the use of existing sociological research

● Social capital can be used to cultivate trust of an online social network