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Analyzing mediator-activity effects for trust-network evolution in social media

Citation

Hatta, K and Kumano, M and Kimura, M and Saito, K and Ohara, K and Motoda, H, Analyzing mediator-activity effects for trust-network evolution in social media, 13th Pacific Rim International Conference on Artificial Intelligence Proceedings, 1-5 December 2014, Gold Coast, Australia, pp. 297-308. ISSN 0302-9743 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer

Official URL: http://dx.doi.org/10.1007/978-3-319-13560-1

DOI: doi:10.1007/978-3-319-13560-1_24

Abstract

We analyze evolution of trust networks in social media sites from a perspective of mediators. To this end, we propose two stochastic models that simulate the dynamics of creating a trust link under the presence of mediators, the A-ME and A-MAE models, where the A-ME model analyzes mediator effects for trust-network evolution in terms of mediator types, and the A-MAE model, an extension of the A-ME model, analyzes mediator-activity effects for trust-network evolution.We present an efficient method of inferring the values of model parameters from an observed sequence of trust links and user activities. Using real data from Epinions, we experimentally show that the A-MAE model significantly outperforms the A-ME model for predicting trust links in the near future under the presence of mediators, and demonstrate the effectiveness of mediator-activity information for trust-network evolution. We further clarify, by using the A-ME and A-MAE models, several characteristic properties of trust-link creation probability in the Epinions data.

Item Details

Item Type:Refereed Conference Paper
Keywords:trust network evolution, mediator activity, trust link prediction
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Networking and Communications
Objective Division:Information and Communication Services
Objective Group:Information Services
Objective Field:Information Services not elsewhere classified
Author:Motoda, H (Dr Hiroshi Motoda)
ID Code:98918
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2015-03-06
Last Modified:2017-11-13
Downloads:0

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