An information dimension of weighted complex networks

Tao Wen and Wen Jiang

Physica A: Statistical Mechanics and its Applications, 2018, vol. 501, issue C, 388-399

Abstract: The fractal and self-similarity are important properties in complex networks. Information dimension is a useful dimension for complex networks to reveal these properties. In this paper, an information dimension is proposed for weighted complex networks. Based on the box-covering algorithm for weighted complex networks (BCANw), the proposed method can deal with the weighted complex networks which appear frequently in the real-world, and it can get the influence of the number of nodes in each box on the information dimension. To show the wide scope of information dimension, some applications are illustrated, indicating that the proposed method is effective and feasible.

Keywords: Weighted complex networks; Information dimension; Box-covering algorithm (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:501:y:2018:i:c:p:388-399

DOI: 10.1016/j.physa.2018.02.067

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