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Beyond the clustering coefficient: A topological analysis of node neighbourhoods in complex networks
[article]
2019
arXiv
pre-print
In Network Science node neighbourhoods, also called ego-centered networks have attracted large attention. In particular the clustering coefficient has been extensively used to measure their local cohesiveness. In this paper, we show how, given two nodes with the same clustering coefficient, the topology of their neighbourhoods can be significantly different, which demonstrates the need to go beyond this simple characterization. We perform a large scale statistical analysis of the topology of
arXiv:1901.10978v1
fatcat:de34hkqnyve6xktplce3iowzjq