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Propagation Models for Trust and Distrust in Social Networks

Propagation Models for Trust and Distrust in Social Networks,10.1007/s10796-005-4807-3,Information Systems Frontiers,Cai-nicolas Ziegler,Georg Lausen

Propagation Models for Trust and Distrust in Social Networks   (Citations: 74)
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Semantic Web endeavors have mainly focused on issues pertaining to knowledge representation and ontology design. However, besides understanding information metadata stated by subjects, knowing about their credibility becomes equally cru- cial. Hence, trust and trust metrics, conceived as computational means to evaluate trust relationships between individuals, come into play. Our major contribution to Semantic Web trust manage- ment through this work is twofold. First, we introduce a classifi- cation scheme for trust metrics along various axes and discuss advantages and drawbacks of existing approaches for Semantic Web scenarios. Hereby, we devise an advocacy for local group trust metrics, guiding us to the second part which presents Ap- pleseed, our novel proposal for local group trust computation. Compelling in its simplicity, Appleseed borrows many ideas from spreading activation models in psychology and relates their con- cepts to trust evaluation in an intuitive fashion. Moreover, we provide extensions for the Appleseed nucleus that make our trust metric handle distrust statements. Ke yW ords. trust, semantic web, trust propagation, spreading activation models, balance theory, web of trust
Journal: Information Systems Frontiers - ISF , vol. 7, no. 4-5, pp. 337-358, 2005
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    • ...Even before the recent surge of interest in social-network-based Sybil defenses, there have been attempts at exploiting the trust graph among users to mitigate the Sybil attack: Advogato [11], Appleseed [24] and SybilProof [4] are the most well-known of these early proposals...

    Nguyen Tranet al. Optimal Sybil-resilient node admission control

    • ...From a research perspective, too, it is generally acknowledged that distrust can play an important role [21, 62, 68], but much ground remains to be covered in this domain...
    • ...The last years have witnessed a rapid increase of gradual trust approaches, ranging from socio-cognitive models (for example implemented by fuzzy cognitive maps in [12]), over management mechanisms for selecting good interaction partners on the web [59] or for pervasive computing environments (Almen´ et al.’s PTM [3]), to representations for use in recommender systems [15, 35], and general models tailored to semantic web applications ...
    • ...Examples of gradual models for both trust and distrust can be found in [11, 21, 62, 68]...
    • ...Artz and Gil classify trust research in four major areas: models that use policies to establish trust (enforcing access policies, managing credentials, etc.), general trust models such as [12] and [68], models for trust in information sources such as [66], and reputation-based trust models...
    • ...Various types of trust metrics exist in the literature; we refer to [68] for a good overview...
    • ...Other trust propagation work includes techniques based on fuzzy if-then rules [31, 59], on the theory of spreading activation models (Ziegler and Lausen’s Appleseed [68]), or on the semantic distance between a TTP’s trust and a user’s perception of the TTP’s trust [1]...
    • ...For instance, in Ziegler’s approach this is incorporated through a spreading factor [68], Golbeck only takes into account shortest paths and ignores all others [15], and in applications that only work with binary trust (instead of gradual), Massa determines the propagated trust based on a user’s distance from a fixed propagation horizon [35]...
    • ...They discuss the negative side effects of multiplicative propagation (also see [68]), but conclude that it cannot be ignored because it has some philosophical defensibility...
    • ...[20, 68]. The results indicate that the first technique is not the line to take...

    Patricia Victoret al. Trust and Recommendations

    • ...As the Semantic Web gains acceptance, understanding the credibility of metadata about authors is becoming important [6]...
    • ...There is a wealth of information on trust and reputation scoring in social networks [9], [10], [8], [6], [11]...
    • ...978-1-61284-937-9/11/$26.00 ©2011 IEEE 263 trust A. The majority of trust propagation algorithms utilize the transitivity property [10], [1], [14], [6], [2]...
    • ...Another popular trust model is the Appleseed Trust metric based on a Spreading Activation Model [14], [6]...

    Hasari Tosunet al. Incorporating evidence into trust propagation models using Markov Rand...

    • ...Additionally, Ziegler and Lausen [16] proposed Appleseed, a local group trust computation metric, to examine trust propagation via local social networks...

    Justin Zhanet al. Trust optimization in task-oriented social networks

    • ...Trust metrics are divided into those with global and those with local scope [31]...
    • ...Approaches to trust and reputation computation are generally classified as centralised or decentralised [31]...
    • ...Here, trust metrics take into account all the peers as well as the trust links that connect them [31]...
    • ...In social network analysis, this includes only ego and actors that are directly adjacent and all of the ties among all of the actors to whom ego has a direct connection [31]...
    • ...The trust established from transitive trust is known as indirect trust as it is determined by recommendations [31]...

    Donovan Isherwoodet al. Enhancing Digital Business Ecosystem trust and reputation with central...

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