Extended resource allocation index for link prediction of complex network

Shuxin Liu, Xinsheng Ji, Caixia Liu and Yi Bai

Physica A: Statistical Mechanics and its Applications, 2017, vol. 479, issue C, 174-183

Abstract: Recently, a number of similarity-based methods have been proposed to predict the missing links in complex network. Among these indices, the resource allocation index performs very well with lower time complexity. However, it ignores potential resources transferred by local paths between two endpoints. Motivated by the resource exchange taking places between endpoints, an extended resource allocation index is proposed. Empirical study on twelve real networks and three synthetic dynamic networks has shown that the index we proposed can achieve a good performance, compared with eight mainstream baselines.

Keywords: Link prediction; Complex network; Resource exchange; Similarity index (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:479:y:2017:i:c:p:174-183

DOI: 10.1016/j.physa.2017.02.078

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