Research on the exponential growth effect on network topology: Theoretical and empirical analysis

Shouwei Li and Zongjun You
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Shouwei Li: School of Business, Shandong Normal University Ji’nan, Shandong 250014, P. R. China†Guiyang Institute for Big Data and Finance, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, P. R. China
Zongjun You: #x2020;Guiyang Institute for Big Data and Finance, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 05, 1-12

Abstract: Integrated circuit (IC) industry network has been built in Yangtze River Delta with the constant expansion of IC industry. The IC industry network grows exponentially with the establishment of new companies and the establishment of contacts with old firms. Based on preferential attachment and exponential growth, the paper presents the analytical results in which the vertices degree of scale-free network follows power-law distribution p(k)∼k−γ (γ=2β+1) and parameter β satisfies 0.5≤β≤1. At the same time, we find that the preferential attachment takes place in a dynamic local world and the size of the dynamic local world is in direct proportion to the size of whole networks. The paper also gives the analytical results of no-preferential attachment and exponential growth on random networks. The computer simulated results of the model illustrate these analytical results. Through some investigations on the enterprises, this paper at first presents the distribution of IC industry, composition of industrial chain and service chain firstly. Then, the correlative network and its analysis of industrial chain and service chain are presented. The correlative analysis of the whole IC industry is also presented at the same time. Based on the theory of complex network, the analysis and comparison of industrial chain network and service chain network in Yangtze River Delta are provided in the paper.

Keywords: Local world; power-law distribution; mean-field theory; exponential growth (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0129183118400041

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