Abstract

In recent years, with the growth of the Internet technology, the users of virtual community not only play the role of the information receiver but also a very important one to provide information. However, there is large amount of information aggregated daily and therefore information overloading has become a very serious problem. Under this situation, how to find information efficiently is also a very important issue. In this paper, we believe users in a virtual community may affect each other, especially those with high influence who have been called as Key Users. Therefore, we observe the biggest virtual community of movies on the Internet which is named IMDb (The Internet Movie Database). An architecture also has been proposed that combines Social Networks Analysis and the features of IMDb to discover those users who have high influence in the virtual community. We collected 17 months (January 2010 to May 2011) from IMDb including 17 366 users and 243 074 reviews. By applying the method we proposed, there are about 22 key users and 111 reviews were discovered. We also use the box office of the movies to justify our results.

Keywords

Cite this article

@article{cai-2218,
  author  = {I-HsienTing and Shyue-Liang Wang and Po-Jen Chen},
  title   = {Key Users and Box Office Analysis in an Interest Based Virtual Community},
  journal = {Computing and Informatics},
  volume  = {33},
  number  = {3},
  pages   = {570--590},
  year    = {2014},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2014/3/key-users-and-box-office-analysis-in-an-interest-based-virtual-community/}
}
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