Matching-centrality decomposition and the forecasting of new links in networks

@article{Rohr2016MatchingcentralityDA,
  title={Matching-centrality decomposition and the forecasting of new links in networks},
  author={Rudolf P. Rohr and Russel E. Naisbit and Christian Mazza and Louis-F{\'e}lix Bersier},
  journal={Proceedings. Biological sciences},
  year={2016},
  volume={283 1824}
}
Networks play a prominent role in the study of complex systems of interacting entities in biology, sociology, and economics. Despite this diversity, we demonstrate here that a statistical model decomposing networks into matching and centrality components provides a comprehensive and unifying quantification of their architecture. The matching term quantifies the assortative structure in which node makes links with which other node, whereas the centrality term quantifies the number of links that… CONTINUE READING
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