Identifying the influential bloggers in a community Export

@inproceedings{ Agarwal08, 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}, address = {New York, NY, USA}, author = {Agarwal, Nitin and Liu, Huan and Tang, Lei and Yu, Philip S.}, booktitle = {WSDM '08: Proceedings of the international conference on Web search and web data mining}, citeulike-article-id = {2729259}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1341531.1341559}, citeulike-linkout-1 = {http://dblp.uni-trier.de/rec/bibtex/conf/wsdm/AgarwalLTY08}, citeulike-linkout-2 = {http://dx.doi.org/10.1145/1341531.1341559}, doi = {10.1145/1341531.1341559}, isbn = {978-1-59593-927-9}, keywords = {blog, bloggers, influence, prediction}, location = {Palo Alto, California, USA}, pages = {207--218}, posted-at = {2009-10-15 01:51:41}, priority = {2}, publisher = {ACM}, title = {Identifying the influential bloggers in a community}, url = {http://dx.doi.org/10.1145/1341531.1341559}, year = {2008} }

TY - CONF ID - Agarwal08 L3 - citeulike-article-id:2729259 N2 - 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 CY - Palo Alto, California, USA SN - 978-1-59593-927-9 AD - New York, NY, USA EP - 218 TI - Identifying the influential bloggers in a community PB - ACM T2 - WSDM '08: Proceedings of the international conference on Web search and web data mining SP - 207 KW - blog KW - bloggers KW - influence KW - prediction AU - Agarwal, Nitin AU - Liu, Huan AU - Tang, Lei AU - Yu, Philip PY - 2008/// UR - http://dx.doi.org/10.1145/1341531.1341559 ER -