Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Interest Similarity of Group Members: The Case Study of CiteULike

Lee, Danielle and Brusilovsky, Peter (2010) Interest Similarity of Group Members: The Case Study of CiteULike. In: WebSci10: Extending the Frontiers of Society On-Line, Raleigh, NC, USA.

Download (469kB) | Preview
[img] Plain Text (licence)
Download (1kB)


Web 2.0 era, where users play not only a role of information consumers, but information creators, produced very complicated online landscape consisting of information items and users collected by various ways explicitly and implicitly. A number of researchers now focus on understanding this landscape, discover its connections with real life, and build practical application on the basis of these discoveries. Among these topics, one that attracts considerable attentions is the correlation between user connections in the Web world and their similarities in real life. Recent research demonstrated, for example, that users engaged into active forum discussion have more similar interests than non connected users and users who exchanged instant messages frequently had more similar search queries than random pairs. Unlike other studies focused on friendships, this study considered users’ self-defined group activities as social networks. Group activities are centered on the utility of information usefulness. Users join the same group on the Web because they are interested in the same topic in terms of a community of interest or practice. The relationships in group networks are known to be self-organized by the members and aim to distribute topic-relevant information or contribute related activities. Surprisingly enough, however, the information similarity of self-defined user groups were not yet explored. Most studies about group dynamics and information sharing patterns in groups focused on derived communities which are discovered systematically by pattern mining approaches. This study is to explore users’ self-defined groups and the interactions among the group members. The group networks were collected at a real collaborative tagging system, Citeulike. Out of more than 700 groups, after filtering out single-member groups and groups having insufficient references (n


Social Networking:
Share |


Item Type: Conference or Workshop Item (Paper)
Status: Published
CreatorsEmailPitt UsernameORCID
Lee, Daniellehyl12@pitt.eduHYL12
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Date: April 2010
Date Type: Publication
Event Title: WebSci10: Extending the Frontiers of Society On-Line
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Official URL:
Related URLs:
Date Deposited: 06 Jul 2011 19:03
Last Modified: 02 Aug 2022 17:39


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item