The experienced "sense" of a virtual community: characteristics and processes
ACM SIGMIS Database
A social hypertext model for finding community in blogs
Proceedings of the seventeenth conference on Hypertext and hypermedia
Automatic detection of cohesive subgroups within social hypertext: A heuristic approach
The New Review of Hypermedia and Multimedia
The community is where the rapport is -- on sense and structure in the youtube community
Proceedings of the fourth international conference on Communities and technologies
HyperSea: towards a spatial hypertext environment for web 2.0 content
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Using cohesive subgroups for analyzing the evolution of the friend view mobile social network
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
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Web pages can be modeled as nodes in a social network, and hyperlinks between pages form links (relationships) between the nodes. Links may take the form of comments, for example on blogs, creating explicit connections between authors and readers. In this paper, we describe a novel methodology and framework for identifying subcommunities as cohesive subgroups of n-cliques and k-plexes within social hypertext. We apply our methodology to a group of computer technologists in Toronto called TorCamp who communicate using a Google group. K-plex analysis is then used to identify a group of people that forms a subcommunity within the larger community. The results are then validated against the experienced sense of community of people inside and outside the subcommunity. Statistically significant differences in experienced sense of community are found, with people within the subcommunity showing higher levels of perceived influence and emotional connection.