Link prediction in complex networks based on an information allocation index

Panpan Pei, Bo Liu and Licheng Jiao

Physica A: Statistical Mechanics and its Applications, 2017, vol. 470, issue C, 1-11

Abstract: An important issue in link prediction of complex networks is to make full use of different kinds of available information simultaneously. To tackle this issue, recently, an information-theoretic model has been proposed and a novel Neighbor Set Information Index (NSI) has been designed. Motivated by this work, we proposed a more general information-theoretic model by further distinguishing the contributions from different variables of the available features. Then, by introducing the resource allocation process into the model, we designed a new index based on neighbor sets with a virtual information allocation process: Neighbor Set Information Allocation Index(NSIA). Experimental studies on real world networks from disparate fields indicate that NSIA performs well compared with NSI as well as other typical proximity indices.

Keywords: Complex networks; Link prediction; Information theory; Resource allocation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:470:y:2017:i:c:p:1-11

DOI: 10.1016/j.physa.2016.11.069

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