Matthias Scholz - Node similarity as a basic principle behind connectivity in complex networks

jdmdh:33 - Journal of Data Mining & Digital Humanities, January 13, 2015, 2015 -
Node similarity as a basic principle behind connectivity in complex networks

Authors: Matthias Scholz

How are people linked in a highly connected society? Since in many networks a power-law (scale-free) node-degree distribution can be observed, power-law might be seen as a universal characteristics of networks. But this study of communication in the Flickr social online network reveals that power-law node-degree distributions are restricted to only sparsely connected networks. More densely connected networks, by contrast, show an increasing divergence from power-law. This work shows that this observation is consistent with the classic idea from social sciences that similarity is the driving factor behind communication in social networks. The strong relation between communication strength and node similarity could be confirmed by analyzing the Flickr network. It also is shown that node similarity as a network formation model can reproduce the characteristics of different network densities and hence can be used as a model for describing the topological transition from weakly to strongly connected societies.

Volume: 2015
Published on: January 13, 2015
Accepted on: January 13, 2015
Submitted on: January 13, 2015
Keywords: Physics - Physics and Society,Condensed Matter - Statistical Mechanics,Computer Science - Social and Information Networks


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