BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere.

作者: Huan Liu , Nitin Agarwal , Shamanth Kumar , Mark Woodward

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摘要: We present a tool BlogTrackers, which assists sociologists to track and analyze blogs of particular interests by designing integrating unique features. an overview illustrate its functions various components outline future work for expansion in meeting the growing needs sociologists. Introduction Blogosphere, network blogs, is at phenomenal rate. Technorati has indexed around 133 million blog records. Sociologists are interested studying blogosphere tracking socio-behavioral patterns, identifying influential people region interest interesting activities. They often have eyeball sites useful information. Given gamut blogosphere, this can be tedious time consuming task. Through user-oriented application, we propose alleviate problem assisting them effectively analyzing blogosphere. BlogTrackers grants freedom choose they wish analyze, observe events patterns with flexibility drilling-in. The consists number crawling modules convenient alternative eyeballing concentrate efforts on further analysis. Most tools generic nature cannot directly used others specific needs. particularly designed their that perform both data collection provide visualizing data. Table 1 presents comparison some existing domain. Although, like BlogPulse features similar our tool, used. combines manner maximize analytical capability individual techniques. Apart from these there also visualization software do not target per se but analysis Pajek visualize !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! http://technorati.com/blogging/state-of-the-blogosphere/ Copyright © 2009, Association Advancement Artificial Intelligence (www.aaai.org). All rights reserved. ways. IBM’s ManyEyes another project visualizations suffers scalability issues. Prefuse toolkit contains set Java based desktop application provides unified platform user crawl It user, helps it. stored relational database. Currently 10 different sources Twitter, Engadget, Unofficial Apple Weblog (TUAW), LiveJournal, etc.

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