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300 250 200 150 100 50 0 98 Flickr Orkut LiveJournal YouTube 1 10 100 1000 Figure 5.11 : Outdegree versus average number of groups joined by users. Users with more links tend to be members of many groups. In general, our observations suggest a global social network structure that is com- prised of a large number of small, tightly clustered local user communities held to- gether by nodes of high degree. This structure is likely to significantly impact tech- niques, algorithms and applications of social networks. 5.10 Discussion We discuss some implications of our findings from this chapter. Our measurements indicate that online social networks have a high degree of reciprocity, a tight core that consists of high-degree nodes, and a strong positive correlation in link degrees for connected users. What do these findings mean for developers? Alternately, how should applications for social networks be designed to take advantage of these prop- erties? Do these properties reveal straightforward attacks on the social structure? Finally, does it make sense to “optimize” algorithms and applications based upon our Outdegree Average Groups JoinedPDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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