Open AccessThe bilateral power-law distribution model of supply chain networks
Author(s) -
Jiangfeng Guo
Publication year - 2006
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.55.3916
Subject(s) - bernoulli's principle , renewal theory , degree distribution , process (computing) , statistical physics , node (physics) , power law , bernoulli process , bernoulli distribution , distribution (mathematics) , random variable , computer science , supply chain , complex network , mathematics , physics , law , mathematical analysis , statistics , quantum mechanics , world wide web , political science , operating system , thermodynamics
Basing on the property of supply-chain networks, this paper proposes a randomly growing directional model whose node-arrival process is a renewal process and the number of new edges is a random variable with Bernoulli distribution. We calculate the degree distributions and stationary average degree distributions of the network model by using the renewal process theory and the continuum theory. The paper shows that the supply chain networks have bilateral power-law distributions.