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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122 proximity bias among nodes connected by new links in any of the empirical data sets. All networks showed a stronger bias towards proximity between new sources and destinations than would have been predicted by the BA model. • Upon closer examination of the newly created links links, we found than no sin- gle proximity model we examined appears to accurately predict this proximity across all networks. However, we did find that models that consider network proximity as a factor in link creation predict the empirical data better then preferential attachment. This suggests that further research into growth mech- anisms is necessary.

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