Generalized mutual entropy is defined for networks and applied in the analysis of complex network structures. The method is tested for the case of computer simulated scale-free networks, random networks, and their mixtures. The possible applications for real network analysis are discussed.

Purpose The purpose of this paper is to explore the evolvement of investors’ behavior in stock market dynamically on the basis of non-cooperative strategy applied by investors in complex networks. Design/methodology/approach Using modeling and simulation research method, this study designs and...

The manufacturing industry is characterized by large-scale interdependent networks as companies buy goods from one another, but do not control or design the overall flow of materials. The result is a complex emergent structure with which companies connect to each other. The topology of this...