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Blogosphere: Research Issues, Tools, and Applications Nitin Agarwal and Huan Liu Sunil Bandla INF384H – Fall 2011
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Web 2.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Social Networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Source: The New York Times “ The site, chock full of advertising, is a moneymaking machine – so much so that Ms. Armstrong and her husband have both quit their regular jobs.“ The reason? The advertisers are eager to influence her 850,000 readers.  Arnold Kim, founder and senior editor of MacRumors.com. “ The site places MacRumors No. 2 on a list of the ‘25 most valuable blogs,’ …” What is the potential value? “Two of the other tech-oriented blogs on its list, …, were sold earlier this year, reportedly for sums in excess of $25 million.” Slide Credit: Liu & Nitin
Blogosphere ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Blogosphere ,[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Modeling the Blogosphere ,[object Object],[object Object],[object Object],Web Blogosphere Web models assume dense graph structure Blogosphere has a very sparse hyperlink structure Not much interaction Interaction in the form of comments and replies Static web pages Dynamic blog posts Conventional web pages do not have tags Blog posts have tags and categories
Modeling the Blogosphere ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Blog Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Blog Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Community Discovery ,[object Object],[object Object],[object Object],[object Object]
Influence in Blogs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trust and Reputation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Filtering Spam blogs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tools and APIs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodologies ,[object Object],[object Object],[object Object],[object Object],[object Object]
Centrality measures ,[object Object],[object Object],[object Object],[object Object]
Content Analysis ,[object Object],[object Object],[object Object],[object Object]
Link Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object]
Methodologies (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Collection
Datasets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information needed ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiments and Performance Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Finding influential bloggers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
Verification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Verification ,[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Blogosphere and Social Networks Blogosphere Social Networks Influential nodes have “been influencing” Influential nodes “could influence” To share ideas or opinions To stay in touch or make friends Reputation is based on previous responses Reputation is based on the number of connections Person-to-group interaction Person-to-person interaction Community experience Friendship experience Loosely defined graph Strictly defined graph Nodes could be bloggers, blog posts, blog sites Nodes are members Implicit links Predefined links Directed graph Undirected graph
Conclusion ,[object Object],[object Object],[object Object],[object Object]
[object Object]
References ,[object Object],[object Object]

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Blogosphere

  • 1. Blogosphere: Research Issues, Tools, and Applications Nitin Agarwal and Huan Liu Sunil Bandla INF384H – Fall 2011
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  • 5. Source: The New York Times “ The site, chock full of advertising, is a moneymaking machine – so much so that Ms. Armstrong and her husband have both quit their regular jobs.“ The reason? The advertisers are eager to influence her 850,000 readers. Arnold Kim, founder and senior editor of MacRumors.com. “ The site places MacRumors No. 2 on a list of the ‘25 most valuable blogs,’ …” What is the potential value? “Two of the other tech-oriented blogs on its list, …, were sold earlier this year, reportedly for sums in excess of $25 million.” Slide Credit: Liu & Nitin
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  • 34. Blogosphere and Social Networks Blogosphere Social Networks Influential nodes have “been influencing” Influential nodes “could influence” To share ideas or opinions To stay in touch or make friends Reputation is based on previous responses Reputation is based on the number of connections Person-to-group interaction Person-to-person interaction Community experience Friendship experience Loosely defined graph Strictly defined graph Nodes could be bloggers, blog posts, blog sites Nodes are members Implicit links Predefined links Directed graph Undirected graph
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Hinweis der Redaktion

  1. http://www.nytimes.com/2008/08/14/technology/14women.html?pagewanted=all http://www.nytimes.com/2008/07/21/technology/21blogger.html?_r=1&oref=slogin The two examples show the new trend of advertising and the values of good blogs
  2. Reported improved clustering as compared to that using tags
  3. Mining sentiments from free text forms poses several challenges
  4. Moreover, spammers can copy the content from some regular blog posts to evade content based spam filters Link based spam filters can easily be beaten by creating legitimate links
  5. various social networking sites provide APIs nowadays. this helps the developers to get limited access to data. APIs are also used to write numerous applications that extend the functioanlities of these sites and create mashups.
  6. In experiments we observe outlinks is negatively correlated with the number of comments received on a blog post, which means more outlinks reduces people's interest/attention. In experiments we observe blog post length is positively correlated with the number of comments received on a blog post, which means longer blog posts attracts people's interest/attention.