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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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118 RS RW PS CN JC Flickr Wikipedia YouTube-D YouTube-U Internet 0.17% 2.0 0.15% 2.9 0.35% 1.6 0.59% 1.7 0.53% 1.9 1.1 1.2 1.2 2.9 1.3 0.7 1.5 1.1 1.0 1.3 1.1 1.4 4.1 1.1 0.5 Table 6.2 : Prediction accuracy of two-hop link creation mechanisms relative to the baseline random selection mechanism. While no one mechanism appears to be the most accurate across all networks, Random Walk and Preferential Selection tend to have higher accuracy. nisms may be at play in different networks, or that the actual mechanism driving link creation is not among the ones we evaluated, or that the actual mechanism is a com- plex combination of some of the mechanisms we tested. This result is not surprising, though, as each of the networks represents a different system, and it is unlikely that one single mechanism would describe the link creation behavior in all of them. 6.7 Discussion In this chapter, we used empirical growth data from multiple large-scale complex networks to test if previously proposed growth models actually are at play in these networks. We have chosen to focus on the well-known BA model model because it is simple and has been suggested as the underlying growth mechanism in different contexts. Clearly, the BA model leads to global degree distributions of the type

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