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.
Lizano-Mora, Henry (57222548433); Palos-Sanchez, Pedro R. (57193833640); Aguayo-Camacho, Mariano (57193831139)
The evolution of business process management: A bibliometric analysis
2021
10.1109/ACCESS.2021.3066340
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103151266&doi=10.1109%2fACCESS.2021.3066340&partnerID=40&md5=1c33c408adbab0bc0582c2eecab4f675
All Open Access; Gold Open Access; Green Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio