Hierarchical structure and the prediction of missing links in networks

Aaron Clauset (), Cristopher Moore and M. E. J. Newman
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Aaron Clauset: and
Cristopher Moore: and
M. E. J. Newman: Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA

Nature, 2008, vol. 453, issue 7191, 98-101

Abstract: Refining the network Networks are now a ubiquitous tool for representing the structure of complex systems, including the Internet, social networks, food webs, and protein and genetic networks. Unfortunately, the data describing these networks are in many cases incomplete or biased. A new study provides a general technique to divide network vertices into groups and sub-groups. Revealing such underlying hierarchies makes it possible to predict missing links from partial data with higher accuracy than previous methods.

Date: 2008
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DOI: 10.1038/nature06830

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