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Title:
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IDENTIFYING ON-LINE GROUPS BASED ON CONTENT AND COLLECTIVE BEHAVIORAL PATTERNS |
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Author(s):
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Dave Engel, Michelle Gregory, Eric Bell, Liam McGrath |
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ISBN:
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978-972-8939-40-3 |
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Editors:
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Piet Kommers, Nik Bessis and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Abstract groups; clustering; content-based; footprint; anomaly detection. |
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Type:
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Full Paper |
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First Page:
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101 |
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Last Page:
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108 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 members 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. |
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