@Article{JICS-13-125, author = {Qi Yang and Yulong Shi}, title = {A Scale-Free Network Evolution Model Based on the Growth Characteristics of Social Networks}, journal = {Journal of Information and Computing Science}, year = {2018}, volume = {13}, number = {2}, pages = {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. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22454.html} }