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Modelling and analysis of user behaviour in online communities

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date1/06/2011
Host publicationThe Semantic Web – ISWC 2011 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I
EditorsLora Aroyo, Chris Welty, Harith Alani, Jamie Taylor, Abraham Bernstein, Lalana Kagal, Natasha Noy, Eva Blomqvist
Place of publicationBerlin
PublisherSpringer Verlag
Pages35-50
Number of pages16
ISBN (Print)978-3-642-25072-9
Original languageEnglish

Conference

ConferenceExtended Semantic Web Conference 2011
CountryGreece
Period1/06/12 → …

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume7031
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceExtended Semantic Web Conference 2011
CountryGreece
Period1/06/12 → …

Abstract

Understanding and forecasting the health of an online community is of great value to its owners and managers who have vested interests in its longevity and success. Nevertheless, the association between community evolution and the behavioural patterns and trends of its members is not clearly understood, which hinders our ability of making accurate predictions of whether a community is flourishing or diminishing. In this paper we use statistical analysis, combined with a semantic model and rules for representing and computing behaviour in online communities. We apply this model on a number of forum communities from Boards.ie to categorise behaviour of community members over time, and report on how different behaviour compositions correlate with positive and negative community growth in these forums.