By Topic

Frequency and Link Analysis of Online Novels Toward Social Contents Ranking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ito, E. ; Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan ; Shimizu, K.

User generated contents service is a social service because users not only enjoy contents but also provide feedback on content by commenting, tagging and book marking. The authors are interested in social service ranking and categorization methods for online novels. Many readers comment and bookmark there favorite novels in online novel services. Comments and book marking are facilitated by readers, and it is possible to use the data as a resource for social ranking and recommendation. In this paper, we focused on an online novel service, and analyzed the frequency of keywords, number of authors, and links from readers to novels. Although the bipartite graph between readers and novels fulfills growth and preferential attachment conditions of scale-free network, distribution of links does not follow power law. The basic idea of social ranking using extracted book marked novels and favorite authors is also explored.

Published in:

Cloud and Green Computing (CGC), 2012 Second International Conference on

Date of Conference:

1-3 Nov. 2012