Evaluating Group Formation in Virtual Communities
Giancarlo Fortino; Antonio Liotta; Fabrizio Messina; Domenico Rosaci; Giuseppe M. L. Sarnè
刊名IEEE/CAA Journal of Automatica Sinica
2020
卷号7期号:4页码:1003-1015
关键词Group formation helpfulness online social communities reputation trust
ISSN号2329-9266
DOI10.1109/JAS.2020.1003237
英文摘要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 $G_k$ 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.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/43008]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Giancarlo Fortino,Antonio Liotta,Fabrizio Messina,et al. Evaluating Group Formation in Virtual Communities[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):1003-1015.
APA Giancarlo Fortino,Antonio Liotta,Fabrizio Messina,Domenico Rosaci,&Giuseppe M. L. Sarnè.(2020).Evaluating Group Formation in Virtual Communities.IEEE/CAA Journal of Automatica Sinica,7(4),1003-1015.
MLA Giancarlo Fortino,et al."Evaluating Group Formation in Virtual Communities".IEEE/CAA Journal of Automatica Sinica 7.4(2020):1003-1015.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace