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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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127 Users undergrads grads Attribute Affinity 5.77 2.37 1.93 college ma jor year department 9.98 school 4.09 year 1.81 Table 7.1 : Affinity values for various attributes of students at Rice. Links are correlated with numerous user attributes. we have observed that links in the Rice network are strongly correlated with attribute values, suggesting that communities of users centered around common attributes may be present. 7.2.2 Attribute-based communities Given that we have observed a correlation between user attributes and links, it is natural to see if the users who share a similar attribute form communities, or dense clusters, in the network. Note that the previous observation is a necessary, but not sufficient, condition for attribute-based communities to exist, since users with common attributes may be linked together but may not form a dense community. In order to investigate whether attribute communities are present in our network, we artificially divide the network into communities based on user attributes, and then quantify the strength of that division into communities using modularity [118].

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