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Content Provider | IEEE Xplore Digital Library |
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Author | Nan Zhao Khoudmi, S. Baud, L. Bellot, P. |
Copyright Year | 2015 |
Description | Author affiliation: Telecom ParisTech, Paris, France (Nan Zhao; Bellot, P.) || DREV Hadopi, Paris, France (Khoudmi, S.; Baud, L.) |
Abstract | In recent years content aggregation Internet forums are used more and more by Internet users to locate and get a copy of digital culture goods, which makes them another main consumption place for digital culture goods besides BitTorrent websites. In this paper we give our recent study on a forum called Wawa city to show how these content aggregation Internet forums work, how users behave and what are the characteristics of the digital culture goods distributed on it. A hierarchical forum crawler is created to achieve information collecting from Wawa city. The collected metadata of this forum represent 48 thousand different contents from 10 different categories, 541 thousand different links and 48 million clicks for about 2.5 years. We notice that the content type with the largest thread number is ebooks (43.77%). However, content of series owns the largest number of source links (22.44%) provided by different hosts. Movies resources own the largest click number (25.27%) Internet users. We also find out that there exist less than 10% of total up loaders, called "Big up loaders" that provide more than 80% of source links and represent about 70% of total clicks on Wawa city. Additionally, by using principal component analysis, a big picture of relations is generated to suggest some characteristics clusters on Wawa city. |
Starting Page | 256 |
Ending Page | 259 |
File Size | 180187 |
Page Count | 4 |
File Format | |
e-ISBN | 9781479986880 |
DOI | 10.1109/BigMM.2015.50 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-04-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electronic publishing Crawlers Content Analysis Streaming media Web Crawling Motion pictures Internet User Behaviors Internet Principal component analysis HDTV |
Content Type | Text |
Resource Type | Article |
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