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

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

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

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Extra info 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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Lerman 4. : Finding local community structure in networks. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics) 72(2) (2005) 5. : Contacts and influence. Social Networks 1(1), 39–40 (1978–1979) 6. : Finite Matrices. Oxford University Press, Oxford (1951) 7. : Algebraic connectivity of graphs. Czech. Math. J. 23, 298–305 (1973) 8. : Resolution limit in community detection. Proc. Natl. Acad. Sci. USA 104, 36 (2007) 9. : Community detection using a measure of global influence. In: Proc.

Once this base has been established, anomalous behavior at each of these levels can be identified and investigated further. Second, stable statistics can be used for testing any model of the network dynamics, as any model which attempts to replicate the communication dynamics must, in particular, be able to reproduce these statistics. Furthermore, the quality of a model can be measured by how well the statistics computed from the network generated by the model (in equilibrium) replicate those observed in the real-life network.

It remains to be seen whether communities will similarly ‘blend in’ with the larger network if one uses the influence metric to discriminate them. Acknowledgements This research is based on work supported in part by the National Science Foundation under Award Nos. IIS-0535182, BCS-0527725 and IIS-0413321. References 1. : Motif-based communities in complex networks. Mathematical Systems Theory 41, 224001 (2008) 2. : From cohomology in physics to q-connectivity in social science. International Journal of Man-Machines Studies 4, 341–362 (1972) 3.

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