A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence

A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence

Jeff J.S. Huang, Stephen J.H. Yang, Jeng C.C Chen, Irene Y.S. Li, Indy Y.T. Hsiao
DOI: 10.4018/joci.2010040105
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The emergence of Web 2.0 has brought along the trend of community. It is also the trend that contributes to socialization of the Internet. The essence of Web 2.0 is creation and sharing which give rise to social networking communities such as Blog, Wikipedia and Facebook. Through Wikipedia, Blogs, Facebook and other kinds of social networking websites, interactive relationship and bridge of knowledge sharing have been built up successfully. This paper attempts to propose an effective way to locate people with shared interests. By using Internet resources bookmarked by the users, the similarity of interests between them can be analyzed. Based on this relationship, people could build communities. Also, through community activities, the innovation and exchange of collective intelligence are accomplished.
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The various social networking websites can be roughly categorized into two types (Guo & Zhao, 2008). One is human-centered which refers to the websites such as MySpace, FaceBook, etc. These websites emphasize online connection between people. The so-called “connection” here refers to the interaction such as “Electronic Mail”, “Chat”, “Blog”, etc. These kinds of interaction will leave some records. By analyzing these records, researchers will have the information that shows the interrelationship between people. Early in 1993, Schwartz et al. had made use of the interactive records of interpersonal electronic mails along with Heuristic Graph Algorithms to explore people with shared interests or other relevant resources(Schwartz & Wood. 1993). Furthermore, Adamic & Adar (2005) pointed that interpersonal relationships can be analyzed by investigating the interactive process of electronic mail. Besides, Ali-Hasan and Adamic (2007) also indicated that the interests and specialties shared among people could be identified by analyzing the interactive records between bloggers and readers.

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