Tsallis information dimension of complex networks
Qi Zhang, Meizhu Li, Yong Deng, Sankaran Mahadevan
TL;DR
This paper introduces the Tsallis information dimension, a new measure based on Tsallis entropy, to analyze the fractal and self-similarity properties of complex networks from multiple perspectives.
Contribution
It proposes a novel information dimension using Tsallis entropy to better capture the fractal characteristics of complex networks.
Findings
Demonstrates the effectiveness of Tsallis information dimension in revealing network properties
Provides a flexible framework by adjusting the parameter q
Shows that the measure can capture different aspects of network structure
Abstract
The fractal and self-similarity properties are revealed in many complex networks. In order to show the influence of different part in the complex networks to the information dimension, we have proposed a new information dimension based on Tsallis entropy namely Tsallis information dimension. The Tsallis information dimension can show the fractal property from different perspective by set different value of q.
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