@inproceedings{9436f7883d844590a4cea7761475f582,
title = "Identifying on-line groups based on content and collective behavioral patterns",
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.",
keywords = "Abstract groups, Anomaly detection, Clustering, Content-based, Footprint",
author = "Dave Engel and Michelle Gregory and Eric Bell and Liam Mcgrath",
year = "2011",
language = "Ingl{\'e}s",
isbn = "9789728939403",
series = "Proceedings of the IADIS International Conferences - Web Based Communities and Social Media 2011, Social Media 2011, Internet Applications and Research 2011, Part of the IADIS, MCCSIS 2011",
pages = "101--108",
booktitle = "Proceedings of the IADIS International Conferences - Web Based Communities and Social Media 2011, Social Media 2011, Internet Applications and Research 2011, Part of the IADIS, MCCSIS 2011",
note = "IADIS International Conferences - Web Based Communities and Social Media 2011, Social Media 2011, Internet Applications and Research 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 ; Conference date: 22-07-2011 Through 24-07-2011",
}