By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mercier, A. ; LCIS, Grenoble Univ., Valence, France ; Occello, M. ; Jamont, J.

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.

Published in:

Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on  (Volume:1 )

Date of Conference:

27-29 Oct. 2010