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Issue No.04 - July/August (2010 vol.25)
pp: 36-45
Huzefa Rangwala , George Mason University
Salman Jamali , RivetLogic
ABSTRACT
<p>Using comment information available from Digg, the authors define a coparticipation network between users that lets them study users' behavioral characteristics and predict the popularity of online content.</p>
INDEX TERMS
social network analysis, social learning, Digg, Slashdot, intelligent systems
CITATION
Huzefa Rangwala, Salman Jamali, "Defining a Coparticipation Network Using Comments on Digg", IEEE Intelligent Systems, vol.25, no. 4, pp. 36-45, July/August 2010, doi:10.1109/MIS.2010.98
REFERENCES
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2. V. Gómez, A. Kaltenbrunner, and V. López, "Statistical Analysis of the Social Network and Discussion Threads in Slashdot," Proc. 17th Int'l Conf. World Wide Web (WWW 08), ACM Press, 2008, pp. 645–654.
3. G. Mishne and N. Glance, "Leave a Reply: An Analysis of Weblog Comments," Proc. 3rd Ann. Workshop Weblogging Ecosystem, ACM Press, 2006, http://dare.uva.nl/record221805.
4. X. Liu et al., "Co-authorship Networks in the Digital Library Research Community," Information Processing and Management, vol. 41, no. 6, 2005, pp. 1462–1480.
5. G. Szabo and B. Huberman, Predicting the Popularity of Online Content, tech. report, HP Labs, vol. 0, 2008, pp. 1–6.
6. M. Newman, "The Structure and Function of Complex Networks," SIAM Rev., vol. 45, no. 2, 2003, pp. 167–256.
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