Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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224 [21] Burton H. Bloom. Space/time trade-offs in hash coding with allowable errors. Communications of the ACM, 13(7):422–426, 1970. [22] Valentino Braitenberg and Almut Schz. Anatomy of the Cortex: Statistics and Geometry. Springer-Verlag, Berlin, Germany, 1991. [23] Andrei Broder, Ravi Kumar, Farzin Maghoul, Prabhakar Raghavan, Sridhar Rajagopalan, Raymie Stata, Andrew Tomkins, and Janet Wiener. Graph Struc- ture in the Web: Experiments and Models. In Proceedings of the 9th Interna- tional Conference on the World Wide Web (WWW’00), Amsterdam, May 2000. [24] CAIDA AS Topology. http://as-rank.caida.org/data/. [25] Andrea Capocci, Vito D. P. Servedio, Francesca Colaiori, Luciana S. Buriol, Debora Donato, Stefano Leonardi, and Guido Caldarelli. Preferential attach- ment in the growth of social networks: The Internet encyclopedia Wikipedia. Physics Review E, 74, 2006. [26] Meeyoung Cha, Haewoon Kwak, Pablo Rodriguez, Yong-Yeol Ahn, and Sue Moon. I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System. In Proceedings of the 5th ACM/Usenix Internet Measurement Conference (IMC’07), San Diego, CA, October 2007. [27] Hyunseok Chang, Sugih Jamin, and Walter Willinger. To peer or not to peer: Modeling the evolution of the internet’s as-level topology. In Proceedings of the

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