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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89 connect to other high-degree nodes; a decreasing knn represents the opposite trend. Figure 5.6 shows a plot of knn for the four networks we studied. 10000 1000 100 10 1 10000 1000 100 10 1 100 Degree (a) Flickr (0.49) 10000 10000 1000 100 10 10000 1000 100 10 1 100 10000 Degree (b) LiveJournal (0.34) 100 Degree (c) Orkut (0.36) 10000 1 100 10000 Degree (d) YouTube (0.19) Figure 5.6 : Log-log plot of the outdegree versus the average indegree of friends. The scale-free metrics, included in the legend, suggest the presence of a well-connected core. The trend for high-degree nodes to connect to other high-degree nodes can be observed in all networks except YouTube (the unexpected bump at the head of the Orkut curve is likely due to the undersampling of users). This suggests that the high- degree nodes in social networks tend to connect to other high-degree nodes, forming a “core” of the network. Anecdotally, we believe that the different behavior seen in knn knn knn knn

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