Visualizing potential communities: A multiagent approach

Sen Yoshida, Koji Kamei, Makoto Yokoo, Takeshi Ohguro, Kaname Funakoshi, Fumio Hattori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


The generic term communityware (M. Chalmers and P. Chitson, 1992) has been proposed to represent systems that typically support the formation, activities, and organization of informal groups on open networks such as the Internet or mobile computing systems. Communityware is intended to provide support for a diverse and amorphous group of people who do not yet have a clearly defined goal. We explain the development of an example communityware system that graphically presents a potential community, i.e., people sharing common interests. The proposed system determines the degree of common interests for each pair of people, and it then locates the users in a plane where the distance between the users reflects the relevance between them. A major challenge for implementing this system is distinguishing an appropriate set of keywords to visualize potential communities. The system extracts keywords from the users' profiles and calculates the degree of relevance among the users using those keywords. We use a weight system for keywords as well as a learning mechanism that determines the desired weight from user feedback. It is shown that agents can speed up this learning process by cooperation.

Original languageEnglish
Title of host publicationProceedings - International Conference on Multi Agent Systems, ICMAS 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Print)081868500X, 9780818685002
Publication statusPublished - 1998
Externally publishedYes
Event1998 International Conference on Multi Agent Systems, ICMAS 1998 - Pans, France
Duration: Jul 3 1998Jul 7 1998

Publication series

NameProceedings - International Conference on Multi Agent Systems, ICMAS 1998


Other1998 International Conference on Multi Agent Systems, ICMAS 1998

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Communication
  • Computer Networks and Communications
  • Information Systems and Management


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