NDLI: Modeling the temporal evolution of an online cancer forum

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Modeling the temporal evolution of an online cancer forum

Content Provider	ACM Digital Library
Author	Safran, Charles Durant, Kathleen T. McCray, Alexa T.
Abstract	In this paper, we present a model for temporal analysis of an online discussion group, also known as an online forum. We used a social network model and investigated an online melanoma forum in detail. Our overall goal is to develop methods that quantify the responsiveness of the interactions in online forums. In particular, we are interested in identifying the evolutional stages through which online forums transition. The evolutional stages show if a forum is growing, shrinking, or in a state of equilibrium. In the work we present here, we measured the creation of threads, the creation of responses and the number of new users, as well as the topology of the melanoma network across an eight-year timeframe in order to measure network activity. We defined a response function in terms of the number of threads receiving a response, the number of threads not receiving a response, and the delay in response time. We used the response function as an approximation of the discussion group's utility. We found three distinct evolutional stages over the eight-year period and a range of response levels, in some cases determined by the severity of the disease under discussion. Our findings have implications for both forum owners and members. Each can assess and subsequently adjust the level of online interaction to improve the usefulness of the forum. Further, the assessed activity level of a forum may be useful for online health seekers as they decide whether or not to join a particular forum.
Starting Page	356
Ending Page	365
Page Count	10
File Format	PDF
ISBN	9781450300308
DOI	10.1145/1882992.1883042
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-11-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Temporal analysis Cancer forums Topic identification Social network analysis Methodology Online medical forum Online medical discussion group
Content Type	Text
Resource Type	Article

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