Evaluating group formation in virtual communities

Giancarlo Fortino

doi:10.1109/JAS.2020.1003237

Evaluating group formation in virtual communities

2020-07-01

13

PRE

AI

DOI：10.1109/JAS.2020.1003237

原文链接

原文求助

摘要

En 中文

In this paper, we are interested in answering the following research question: Is it possible to form effective groups in virtual communities by exploiting trust information without significant overhead, similarly to real user communities? In order to answer this question, instead of adopting the largely used approach of exploiting the opinions provided by all the users of the community (called global reputation), we propose to use a particular form of reputation, called local reputation. We also propose an algorithm for group formation able to implement the proposed procedure to form effective groups in virtual communities. Another interesting question is how to measure the effectiveness of groups in virtual communities. To this aim we introduce the index in a measure of the effectiveness of the group formation. We tested our algorithm by realizing some experimental trials on real data from the real world EPINIONS and CIAO communities, showing the significant advantages of our procedure w.r.t. another prominent approach based on traditional global reputation.

Keyword:

Group formation

helpfulness

online social communities

reputation

trust

Evaluating group formation in virtual communities

摘要

AI总结

期刊

机构

引用论文