Using Multiagent Self-organization Techniques to Improve Dynamic Skill Searching in Virtual Social Communities

This paper introduces an approach which aims at improving information access (skills, services) in large networks. A self-organized multiagent analysis of the problem, reducing the number of messages transmitted for a skill search is proposed. The MWAC (Multi-Wireless-Agent Communication) model is extended here to take some specificities of social networks into account, like the information held by the social network members and their connections with the others.