Detection of dishonest behaviors in on-line networks using graph-based ranking techniques

Article type: Other

Authors: Ortega, F. Javier

Affiliations: University of Seville, Avda. Reina Mercedes s/n, 41012 Seville, Spain. E-mail: [email protected]

Abstract: Dishonest behaviors in on-line networks include the problems caused by those actions performed by certain elements in a network in order to obtain some kind of benefits from the system. The analysis of this phenomenon concerns the WWW from two points of view: the Web as a collection of interrelated documents, and the social networks. In this work we study the web spam detection and the computation of trust and reputation in on-line social networks. We propose two graph-based ranking algorithms, based on different propagation models that spread the information from a set of elements in the network to compute the global relevance of all the nodes in the system.

Keywords: Trust and reputation, ranking algorithms, social network analysis

DOI: 10.3233/AIC-130564

Journal: AI Communications, vol. 26, no. 3, pp. 327-329, 2013