Reformulating scale-free network via strong dependency. (21st November 2022)

• Record Type: Journal Article
• Authors: Kim, Tae Yoon; Park, Cheolyong; Ha, Jeongcheol; Hwang, Sun Young; Park, Inho
• Is Part Of: Journal of complex networks. Volume 10:Number 6(2022)
• Publication Date: 2022-11-21
• Subjects: scale-free network -- strong dependency -- zero-inflated Poisson model -- reduced structure; Numerical analysis -- Periodicals; Computer networks -- Periodicals; Social networks -- Periodicals; 518.05
• DOI: 10.1093/comnet/cnac052
• Languages: English
• ISSNs: 2051-1310

Abstract

Abstract: In this article, we study the mechanism of generating a scale-free network using strong dependency between nodes. It is found that dependency should be aided by two key factors, namely, the reduced structure of network connections and small zero inflation. Our finding provides key conditions bridging the gap between the two groups having different opinions on scale-free networks. These groups include a camp of network scientists that consider scale-free networks as ideal objects in the large-size limit and the others that consider them as concrete objects in the real world.