Automatically Identifying Groups Based on Content and Collective Behavioral Patterns of Group Members

Michelle Gregory, Dave Engel, Eric Bell, Andy Piatt, Scott Dowson, Andrew Cowell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Online communities, or groups, have largely been defined based on links, page rank, and eigenvalues. In this paper we explore identifying abstract groups, groups where member’s interests and online footprints are similar but they are not necessarily connected to one another explicitly. We use a combination of structural information and content information from posts and their comments to build a footprint for groups. We find that these variables do a good job at identifying groups, placing members within a group, and help determine the appropriate granularity for group boundaries.

Original languageEnglish
Title of host publicationProceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011
PublisherAAAI Press
Pages498-501
Number of pages4
ISBN (Electronic)9781577355052
StatePublished - Jul 17 2011
Externally publishedYes
Event5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011 - Barcelona, Spain
Duration: Jul 17 2011Jul 21 2011

Publication series

NameProceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011

Conference

Conference5th International AAAI Conference on Weblogs and Social Media, ICWSM 2011
Country/TerritorySpain
CityBarcelona
Period07/17/1107/21/11

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