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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lanagan, J. |
| Copyright Year | 2012 |
| Description | Author affiliation: Technicolor, Cesson-Sevigne, France (Lanagan, J.) |
| Abstract | Social media has become an integral part of the web, and its popularity continues to provide an outlet for people's opinions and discussion about any topic of interest. In this paper we examine the interest around a number of television series that are broadcast on a weekly basis. Our aim is to show that by observing solely the initial interactions of fans or users of a web forum, we can extrapolate the longer-term interest in particular episodes. We do so by observing the temporal dynamics of the conversation, and performing a clustering so as to judge how much time is required before reasonable conclusions can be drawn about the level of interest surrounding an episode. We find that early interaction trends have strong similarities with the overall conversation patterns. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 215 |
| Ending Page | 219 |
| File Size | 713015 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467324977 |
| DOI | 10.1109/ASONAM.2012.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-26 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fans TV Shape Time series analysis Media Time Series Market research Web Forums Indexes Clustering |
| Content Type | Text |
| Resource Type | Article |
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