POLYPHONET: an advanced social network extraction system from the web
Proceedings of the 15th international conference on World Wide Web
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
Spinning multiple social networks for semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Community focused social network extraction
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Publication venue recommendation using author network's publication history
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Discovering relationship types between users using profiles and shared photos in a social network
Multimedia Tools and Applications
Semantic description of scholar-oriented social network cloud
The Journal of Supercomputing
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To discover how precisely links among researchers' Web sites capture the ties of academic communities, this study conducts Web citation analysis. 3,878 Web sites of computer scientists and their 8,811 articles are assessed. 200 most frequently cited researchers from them are subjected to Web author cocitation analysis and compared to bibliographical data. As a result, a cluster of researchers on the Web becomes a superset of bibliographical one, that is, a community representing a larger research field. We then develop Web link ontology that defines various relationships among researchers to apply metadata annotation to the links among 200 sites. Findings: 1) since intellectual ties analysis separates off sociocognitive ties, it results into a better approximation of bibliographical author cocitation, 2) since sociocognitive ties analysis can utilize various links not only coauthor networks, diverse kinds of social connections can be found, 3) merging intellectual ties and sociocognitive ties analyses detect gatekeepers who bridges research fields on social networks.