Results 231 to 240 of about 835 (263)

A New Approach for the Trust Calculation in Social Networks

2008
This paper aims at the trust calculation in social networks by addressing some major issues: Firstly, the paper evaluates a specific trust function and its behaviors, and then it focuses on the modification of that trust function by considering diverse scenarios. After that, the paper proposes a new approach with a specific functionality.
Mehrdad Nojoumian, Timothy C. Lethbridge
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An Affair-based Interpersonal Trust Metric Calculation Method

2008 The 9th International Conference for Young Computer Scientists, 2008
For trust is subjective, ambiguous, and has other characteristics, this paper proposed an affair-based interpersonal trust metric calculation method to quantify the value of trust. The method defined two trees, one is "trust performance tree" in which the main factors affecting trust are abstractively subdivided into different levels of trust ...
Gang Li, Sheng Ge, Zhenhai Yang
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A trust calculating algorithm based on mobile phone data

2012 IEEE Global Communications Conference (GLOBECOM), 2012
Personalized mobile network service is a hotpot issue now. In order to provide the real-time and accurate personalized mobile network service, researchers introduce the trust into the mobile user need model. However the existing research rarely considers the context information and the structure of mobile social network when calculating the trust ...
Yancui Shi, Xiangwu Meng, Yujie Zhang, Mi Xiao   +3 more
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Trust Calculation and Route Discovery for Delay Tolerant Networks

TENCON 2018 - 2018 IEEE Region 10 Conference, 2018
With the advancement in networking technologies and emerging applications that work on different protocols, the basic usage of networks, i.e., transferring by packets and global connectivity has to be maintained. The Delay Tolerant Networks (DTNs) are characterized by high end-to-end latency, frequent disconnection, and opportunistic communication over
Nav Nidhi Pal, Komal Gaikwad, Debasis Das 0001   +2 more
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Trust, Calculation, and Interorganizational Learning of Tacit Knowledge: An Organizational Roles Perspective

Organization Studies, 2009
Learning of tacit knowledge in an interorganizational context is a process fraught with risks for the collaborating partners. Two conflicting perspectives on what motivates partners to cooperatively share tacit knowledge with each other emerge from extant literature: one based on calculative considerations and the other on trust-based considerations ...
Janowicz-Panjaitan, M.K., Noorderhaven, N.G.   +1 more
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Revisiting Public Reputation Calculation in a Personalized Trust Model. [PDF]

, 2019
In this paper, we present a strategy for agents to predict the trustworthiness of other agents based on reports from peers, when the public reputation reflected by majority opinion may be suspect. We ground our discussion in the context of Zhang’s personalized trust model, where agents combine estimates of both private and public reputation, tempered ...
Wang, Peng Fei, Hu, Zehong, Cohen, Robin
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Trust Calculation and Management in P2P and Grid Systems

2010
The significance of efficient security mechanisms in P2P and Grid systems is unquestionable, since security is considered to be a quality of service factor for such systems. Traditional security mechanisms in P2P and Grid systems include encryption, sand-boxing and other access control and authentication mechanisms. Unfortunately these techniques incur
Karaoglanoglou Konstantinos, Helen Karatza   +1 more
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A Trust Score calculation approach for Zero Trust Access System

2023 IEEE 20th India Council International Conference (INDICON), 2023
Aleena Terese George, Hrishikesh Rajendra Neve, Muraleedharan N   +2 more
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Trust and calculativeness

2023
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Calculating Trust Using Aggregation Rules in Social Networks

2007
As Web-based online communities are rapidly growing, the agents in social groups need to know their measurable belief of trust for safe and successful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities.
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