A Scale-Free Network Evolution Model Based on the Growth Characteristics of Social Networks
Year: 2018
Journal of Information and Computing Science, Vol. 13 (2018), Iss. 2 : pp. 125–130
Abstract
In this paper, based on the classic BA scale-free network model, we proposed a new evolution model that gives a more realistic description of the people’s behavior on social networks. In the process of growth, there are local preferential attachment mechanisms and random attachment or removal between the old and new edges. We proved that the extended model follows the power-law distribution and the power exponent is between 2 and 3, which provides a theoretical support for analyzing the similar social network. Compared with the classic BA model, the extended model has a smaller average path length and a larger clustering coefficient, which is more consistent with the real social network.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22454
Journal of Information and Computing Science, Vol. 13 (2018), Iss. 2 : pp. 125–130
Published online: 2018-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6