Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5103019 | Physica A: Statistical Mechanics and its Applications | 2017 | 23 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Shuxin Liu, Xinsheng Ji, Caixia Liu, Yi Bai,