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Trust transitivity in complex social networks
- In AAAI’11
, 2011
"... In Online Social Networks (OSNs), participants can conduct rich activities, where trust is one of the most important factors for their decision making. This ne-cessitates the evaluation of the trustworthiness between two unknown participants along the social trust paths between them based on the tru ..."
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Cited by 8 (4 self)
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In Online Social Networks (OSNs), participants can conduct rich activities, where trust is one of the most important factors for their decision making. This ne-cessitates the evaluation of the trustworthiness between two unknown participants along the social trust paths between them based on the trust transitivity properties (i.e., if A trustsB andB trusts C, then A can trust C to some extent). In order to compute more reasonable trust value between two unknown participants, a critical and challenging problem is to make clear how and to what extent trust is transitive along a social trust path. To address this problem, we first propose a new com-plex social network structure that takes, besides trust, social relationships, recommendation roles and prefer-ence similarity between participants into account. These factors have significant influence on trust transitivity. We then propose a general concept, called Quality of Trust Transitivity (QoTT), that takes any factor with im-pact on trust transitivity as an attribute to illustrate the ability of a trust path to guarantee a certain level of qual-ity in trust transitivity. Finally, we propose a novel Mul-tiple QoTT Constrained Trust Transitivity (MQCTT) model. The results of our experiments demonstrate that our proposed MQCTT model follows the properties of trust and the principles illustrated in social psychology, and thus can compute more resonable trust values than existing methods that consider neither the impact of so-cial aspects nor the properties of trust.
Matrust: An effective multi-aspect trust inference model. arXiv preprint arXiv:1211.2041
, 2012
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BFF: A Tool for Eliciting Tie Strength and User Communities in Social Networking Services
"... López Fogués, R.; Such Aparicio, JM.; Espinosa Minguet, AR.; García-Fornes, A. (2014 Abstract The use of social networking services (SNSs) such as Facebook has explosively grown in the last few years. Users see these SNSs as useful tools to find friends and interact with them. Moreover, SNSs allow ..."
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López Fogués, R.; Such Aparicio, JM.; Espinosa Minguet, AR.; García-Fornes, A. (2014 Abstract The use of social networking services (SNSs) such as Facebook has explosively grown in the last few years. Users see these SNSs as useful tools to find friends and interact with them. Moreover, SNSs allow their users to share photos, videos, and express their thoughts and feelings. However, users are usually concerned about their privacy when using SNSs. This is because the public image of a subject can be affected by photos or comments posted on a social network. In this way, recent studies demonstrate that users are demanding better mechanisms to protect their privacy. An appropriate approximation to solve this could be a privacy assistant software agent that automatically suggests a privacy policy for any item to be shared on a SNS. The first step for developing such an agent is to be able to elicit meaningful information that can lead to accurate privacy policy predictions. In particular, the information needed is user communities and the strength of users' relationships, which, as suggested by recent empirical evidence, are the most important factors that drive disclosure in SNSs. Given the number of friends that users can have and the number of communities they may be involved on, it is infeasible that users are able to provide this information without the whole eliciting process becoming confusing and time consuming. In this work, we present a tool called Best Friend Forever (BFF) that automatically classifies the friends of a user in communities and assigns a value to the strength of the relationship ties to each one. We also present an experimental evaluation involving 38 subjects that showed that BFF can significantly alleviate the burden of eliciting communities and relationship strength.
Chapter 1 Trust-Oriented Service Provider Selection in Complex Online Social Networks
"... Abstract In recent years, Online Social Networks (OSNs) with numerous partici-pants have been used as the means for rich activities. For example, employers could use OSNs to investigate potential employees, and participants could use OSNs to look for movie recommendations. In these activities, trust ..."
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Abstract In recent years, Online Social Networks (OSNs) with numerous partici-pants have been used as the means for rich activities. For example, employers could use OSNs to investigate potential employees, and participants could use OSNs to look for movie recommendations. In these activities, trust is one of the most impor-tant indication of participants decision making, greatly demanding the evaluation of the trustworthiness of a service provider along certain social trust paths from a service consumer. In this chapter, we first analyze the characteristics of the current generation of functional websites and the current generation of online social net-works based on their functionality and sociality, and present the properties of the new generation of social network based web applications. Then we present a new selection model considering both adjacent and end-to-end constraints, based on a novel concept Quality of Trust and a novel complex social network structure. More-over, in order to select the optimal one from massive social trust paths yielding the most trustworthy trust evaluation result, this chapter presents an effective and ef-ficient heuristic algorithm for optimal social trust path selection with constraints, which is actually an NP-Complete problem. Experimental results illustrate that the proposed method outperforms existing models in both efficiency and the quality of delivered solutions. This work provides key techniques to potentially lots of service-oriented applications with social networks as the backbone.
Chapter 1 The Roadmap of Trust and Trust Evaluation in Web Applications and Web Services
"... Abstract In the 1980s and 1990s, the issue of trust in many aspects of life has drawn much attention in a significant number of studies in social science. Nowadays, with the development of Web applications, trust evaluation has become a significant and important issue, especially when a client has t ..."
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Abstract In the 1980s and 1990s, the issue of trust in many aspects of life has drawn much attention in a significant number of studies in social science. Nowadays, with the development of Web applications, trust evaluation has become a significant and important issue, especially when a client has to select a trustworthy one from a pool of unknown service providers. An effective and efficient trust evaluation system is highly desirable and critical to clients for identifying potential risks, providing ob-jective trust results and preventing huge monetary losses. This research roadmap presents an overview of the general structure of trust, the bases of trust and the concepts of trust in different disciplines. Then the typical trust evaluation methods in each area of Web applications, including e-commerce, P2P networks, multi-agent systems, recommendation systems, social networks and service-oriented computing, are briefly introduced from technology, state of the art and scientific challenges standpoints. This roadmap provides not only the neces-sary background for on-going research activities and projects, but also the solid foundations for deciding on potential future research on trust evaluation in broader contexts. 1.1
