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Advances in Social Network Mining and Analysis: Second by C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang PDF

By C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang

ISBN-10: 3642149286

ISBN-13: 9783642149283

This paintings constitutes the court cases of the second one foreign Workshop on Advances in Social community and research, held in Las Vegas, NV, united states in August 2008.

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Read Online or Download Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers ... Computer Science and General Issues) PDF

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Extra resources for Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers ... Computer Science and General Issues)

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28, 2008 Table 2. 19 weeks of communities from the Russian section of Live Journal. |C| is the number of communities, δavg is the average density, and ep is the average edge probability within the communities. 252818 presented distribution (the variation at each point is less then 2%). As the figure suggests, the majority of communicating vertices were less or at 3 hops away in the network on the previous time cycle. This provides evidence for the strong locality of communication that occurs in the observed network.

This leads to the intuition, that conferences may not be the natural communities, but the natural communities may actually be bigger in size than conferences, with teams playing as many games against others in the same conferences being put into the same community. College football Political books Fig. 3. The graph showing the purity of communities predicted with different values of α and β in the (a) college football and (b) political books data sets. We see that purity increases with α, and is independent of β.

We then take the length of the sequence into account to calculate the expected q-nearness of one vertex to another by taking the weighted average of q-nearness of varying length of paths. The expected value of qij between two elements i and j, such that they are expected to be qij − 1 near each other, with (qkij ) = Akij is: E(qij ) = (W1 · q1ij + W2 · q2ij + . . + Wn · qnij + . ) ∞ i=1 Wi (6) This expected value can be used to find out how connected two vertices are to each other, taking paths of all lengths into account.

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Advances in Social Network Mining and Analysis: Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers ... Computer Science and General Issues) by C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang


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