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Traffic Characteristics and Communication Patterns in Blogosphere A brilliant and insightful analysis of the access methods of the blogosphere community Peter Kamm
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Overview Three Perspectives Server View All Users, All Blogs User View Individual User Perspective Object View Individual Blog Perspective
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Server View File transfer exhibits Pareto distribution Diurnal, bursty patterns Most blog traffic (~%40) from search engines
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User View Search engines have little impact on blog popularity Power law relationship of “interest”
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Object View Blog popularity follows power law Three blog types Broadcast Parlor Register
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Data Almost a terabyte of data spanning a full month Over 35 million server requests Extensive data on each request Eliminate crawlers and errors Even takes administrative requests into account
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All Views Analyzed Takes all perspectives into account Useful for infrastructure side, user experience and social networking Broad scope
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New Interesting Findings Search engine have little impact on object popularity Author/reader relationship categorization Blogosphere patterns more dependent on social networks than traditional web traffic
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Relevance / Applications Synthetic traffic generation Track blog popularity using owner's social attributes not other pages pointing to it
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