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xvi 5.4 Plot of the overlap between top x% of nodes ranked by outdegree and indegree. The high-indegree and high-outdegree nodes are often the sameinsocialnetworks,butnotintheWeb. . . . . . . . . . . . . . . 86 5.5 CDF of outdegree to indegree ratio. Social networks show much stronger correlation between indegree and outdegree than the Web. . 86 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 awell-connectedcore............................ 89 5.7 Breakdown of network into SCCs when high-degree nodes are removed,groupedbySCCsize. ..................... 92 5.8 Average path length among the most well-connected nodes. The path lengthincreasessub-logarithmically.. . . . . . . . . . . . . . . . . .. 93 5.9 Clustering coefficient of users with different outdegrees. The users withfew“friends”aretightlyclustered.. . . . . . . . . . . . . . . .. 95 5.10 Plot of group size and average group clustering coefficient. Many smallgroupsarealmostcliques. ..................... 97 5.11 Outdegree versus average number of groups joined by users. Users withmorelinkstendtobemembersofmanygroups. . . . . . . . . . 98PDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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