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97 higher than those of the corresponding network graph as a whole (shown in Table 5.4). Further, the members of smaller user groups tend to be more clustered than those of larger groups. Figure 5.10 shows this by plotting the average group clustering coefficient for groups of different sizes in the four observed networks. In fact, many of the small groups in these networks are cliques. 1 0.8 0.6 0.4 0.2 0 LiveJournal Flickr Orkut YouTube 1 10 100 1000 Group Size 10000 100000 Figure 5.10 : Plot of group size and average group clustering coefficient. Many small groups are almost cliques. Finally, Figure 5.11 shows how user participation in groups varies with outdegree. Low-degree nodes tend to be part of very few communities, while high-degree nodes tend to be members of multiple groups. This implies a correlation between the link creation activity and the group participation. There is a sharp decline in group participation for Orkut users with over 500 links, which is inconsistent with the behavior of the other networks. This result may be an artifact of our partial crawl of the Orkut network and the resulting biased user sample. of the network consisting of only the users who are members of G. Avg. Clustering CoefficientPDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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