Paper 12 --Empirical analysisof online social networksin the ageofWeb 2.0
Today the World Wide Web is undergoing a subtle but profound shift to Web 2.0, to become more of a social web. The use of collaborative technologies such as blogs and social networking site (SNS) leads to instant online community in which people communicate rapidly and conveniently with each other. Moreover, there are growing interest and concern regarding the topological structure of these new online social networks.
We studied the frequency of shortest path length, demonstrating that the famous law “six degrees of separation” is present in both the networks. We confirmed that for both networks, the clustering coefficient’s dependence on degree is nontrivial, further suggesting some level of hierarchy in topological organizations. Finally, we examined the mixing pattern, We found that the blogging network shows disassortative mixing pattern in general, while Xiaonei network is an assortative one. Our case study might help us to understand the topological features of online social network in the age of Web 2.0.
We studied the frequency of shortest path length, demonstrating that the famous law “six degrees of separation” is present in both the networks. We confirmed that for both networks, the clustering coefficient’s dependence on degree is nontrivial, further suggesting some level of hierarchy in topological organizations. Finally, we examined the mixing pattern, We found that the blogging network shows disassortative mixing pattern in general, while Xiaonei network is an assortative one. Our case study might help us to understand the topological features of online social network in the age of Web 2.0.
Paper 13-- A short walk in the Blogistan
An important contribution of our work is the methodology we developed to identify emerging interests by mining hyperlinks in blogs and their change over time. The methodology constitutes a general approach to mine evolving interconnection networks that we believe can have applications well beyond the Blogistan. By canceling out “repeated patterns” we are able to identify emerging ones.
They said an important contribution of their work is the methodology they developed to identify emerging interests by mining hyperlinks in blogs and their change over time. The methodology constitutes a general approach to mine evolving interconnection networks that they believe can have applications well beyond the Blogistan.
Paper 14-Analysis of User Relations and Reading Activity in Weblogs
Various definitions for the relationship are considered, based on factors such as comments and trackbacks, in order to analyze what relationship is the most effective for the purpose. Second, the Authors analyze whether blogs that are read frequently by the users can be identified from blog relationships. The range of 2-hop connection from a blog is considered, and an attempt is made, by using the index, to reveal the reading behavior of users, such as strength and kind, on the basis of the number of routes. It is evident that bookmarks have a strong effect, and that users circulate around the bookmarks in a blog network.
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