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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Undergraduate students Table 7.2 shows the modularity for the undergraduate population when partitioned according to residential college, major, and matriculation year. Also shown is the modularity of the partitionings that are obtained when multiple attributes are used. The results show a significant modularity for the communities defined by residen- tial college and matriculation year – a relatively high Q of 0.385 is observed when partitioning by residential college, and a Q of 0.259 is seen when dividing by year. However, the modularity of the communities defined by major is almost 0, indicating that no community structure exists based on academic major. Overall, these results indicate that users who share the same college or matriculation year form tightly-knit communities in the social network. 128 Attributes college, ma jor, college, ma jor year, ma jor ma jor college, year year college Communities Modularity year 660 488 0.025 270 0.039 163 0.046 36 0.249 4 0.259 9 0.385 0.021 Table 7.2 : Modularity values for communities defined by various attributes of under- graduates at Rice. College and matriculation year reveal strong community structure. With some knowledge of the actual social network at Rice, the above results are

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