Artículo

On the Scale-Free Property of Citation Networks: An Empirical Study

Resumen

Citation networks have been thought to exhibit scale-free property for many years; however, this assertion has been doubted recently. In this paper, we conduct extensive experiments to resolve this controversial issue. We firstly demonstrate the scale-free property in scale-free networks sampled from the popular Barabasi-Albert (BA) model. To this end, we employ a merged rank distribution, which is divided into outliers, power-law segment, and non-power-law data, to characterize network degrees, and propose a random sample consensus (RANSAC)-based method to identify power-law segments from merged rank distributions, and use the Kolmogorov-Smirnov (KS) test to examine the scale-free property in power-law segments. Subsequently, we apply the same methods to examine the scale-free property in real-world citation networks. Experimental results confirm the scale-free property in citation networks and attribute previous skepticism to the presence of outliers.
https://doi.org/10.1145/3589335.3651541
On the Scale-Free Property of Citation Networks: An Empirical Study
2024
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https://dl.acm.org/doi/pdf/10.1145/3589335.3651541
Xiaoshi Zhong; Huizhi Liang
China North Industries Group Corporation (China); Beijing Institute of Technology
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