Abstract
Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide suggestions, report news, and form groups in Blogosphere. Bloggers form their virtual communities of similar interests. Activities happened in Blogosphere affect the external world. One way to understand the development on Blogosphere is to find influential blog sites. There are many non-influential blog sites which form the "the long tail". Regardless of a blog site being influential or not, there are influential bloggers. Inspired by the high impact of the influentials in a physical community, we study a novel problem of identifying influential bloggers at a blog site. Active bloggers are not necessarily influential. Influential bloggers can impact fellow bloggers in various ways. In this paper, we discuss the challenges of identifying influential bloggers, investigate what constitutes influential bloggers, present a preliminary model attempting to quantify an influential blogger, and pave the way for building a robust model that allows for finding various types of the influentials. To illustrate these issues, we conduct experiments with data from a real-world blog site, evaluate multi-facets of the problem of identifying influential bloggers, and discuss unique challenges. We conclude with interesting findings and future work.
Original language | English (US) |
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Title of host publication | WSDM'08 - Proceedings of the 2008 International Conference on Web Search and Data Mining |
Pages | 207-217 |
Number of pages | 11 |
DOIs | |
State | Published - 2008 |
Event | 2008 International Conference on Web Search and Data Mining, WSDM 2008 - Palo Alto, CA, United States Duration: Feb 11 2008 → Feb 12 2008 |
Other
Other | 2008 International Conference on Web Search and Data Mining, WSDM 2008 |
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Country/Territory | United States |
City | Palo Alto, CA |
Period | 2/11/08 → 2/12/08 |
Keywords
- Blogosphere
- Influential bloggers
- Social networks
ASJC Scopus subject areas
- Information Systems
- Signal Processing
- Software
- Theoretical Computer Science