TY - JOUR
T1 - A Scale-Free Network Evolution Model Based on the Growth Characteristics of Social Networks
AU - Qi Yang and Yulong Shi
JO - Journal of Information and Computing Science
VL - 2
SP - 125
EP - 130
PY - 2024
DA - 2024/01
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22454.html
KW - BA scale-free network, social network, local preferential attachment, random attachment 

AB - 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.