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Identifying subcommunities using cohesive subgroups in social hypertext

Published: 10 September 2007 Publication History

Abstract

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.

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Cited By

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  • (2014)Methods of Tracking Online Community in Social NetworkSocial Networking10.1007/978-3-319-05164-2_6(129-146)Online publication date: 2014
  • (2010)Using cohesive subgroups for analyzing the evolution of the friend view mobile social networkProceedings of the 7th international conference on Ubiquitous intelligence and computing10.5555/1929661.1929718(620-634)Online publication date: 26-Oct-2010
  • (2010)Automated Delineation of Subgroups in Web Video: A Medical Activism Case StudyJournal of Computer-Mediated Communication10.1111/j.1083-6101.2010.01507.x15:3(447-464)Online publication date: 14-Apr-2010
  • Show More Cited By

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Published In

cover image ACM Conferences
HT '07: Proceedings of the eighteenth conference on Hypertext and hypermedia
September 2007
240 pages
ISBN:9781595938206
DOI:10.1145/1286240
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2007

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Author Tags

  1. cohesive subgroups
  2. k-plexes
  3. n-cliques
  4. social hypertext
  5. social networks
  6. subcommunities
  7. virtual community

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HT07
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HT07: 18th Conference on Hypertext and Hypermedia
September 10 - 12, 2007
Manchester, UK

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

View all
  • (2014)Methods of Tracking Online Community in Social NetworkSocial Networking10.1007/978-3-319-05164-2_6(129-146)Online publication date: 2014
  • (2010)Using cohesive subgroups for analyzing the evolution of the friend view mobile social networkProceedings of the 7th international conference on Ubiquitous intelligence and computing10.5555/1929661.1929718(620-634)Online publication date: 26-Oct-2010
  • (2010)Automated Delineation of Subgroups in Web Video: A Medical Activism Case StudyJournal of Computer-Mediated Communication10.1111/j.1083-6101.2010.01507.x15:3(447-464)Online publication date: 14-Apr-2010
  • (2010)Tracking cohesive subgroups over time in inferred social networksThe New Review of Hypermedia and Multimedia10.1080/13614568.2010.49613216:1-2(113-139)Online publication date: 1-Apr-2010
  • (2009)HyperSeaProceedings of the 20th ACM conference on Hypertext and hypermedia10.1145/1557914.1557924(35-44)Online publication date: 29-Jun-2009
  • (2009)The community is where the rapport is -- on sense and structure in the youtube communityProceedings of the fourth international conference on Communities and technologies10.1145/1556460.1556467(41-50)Online publication date: 25-Jun-2009
  • (2009)Finding Cohesive Subgroups and Relevant Members in the Nokia Friend View Mobile Social NetworkProceedings of the 2009 International Conference on Computational Science and Engineering - Volume 0410.1109/CSE.2009.152(278-283)Online publication date: 29-Aug-2009
  • (2009)DISSECT: Data-Intensive Socially Similar Evolving Community TrackerComputational Social Network Analysis10.1007/978-1-84882-229-0_4(81-105)Online publication date: 6-Nov-2009
  • (2008)Detecting Communities in Science BlogsProceedings of the 2008 Fourth IEEE International Conference on eScience10.1109/eScience.2008.30(95-102)Online publication date: 7-Dec-2008
  • (2008)Automatic detection of cohesive subgroups within social hypertextThe New Review of Hypermedia and Multimedia10.1080/1361456080235718014:1(121-143)Online publication date: 1-Jan-2008

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