Generating Mechanism Study for a Bipartite Weighted Complex Network Based on Three Worlds: Take the Case of a Bank's Service Channels

Abstract

we classify a bank's 15595 clients into 9 groups by their ages and bank balances, and then each group is classified further into two parts, namely active and inactive clients. The 1939 service channels, which are used in the transaction are divided into three transaction worlds for each group of clients: local world, the weak nonlocal world, and the strong nonlocal world. The service channels in regular use are defined as its local world, the weak nonlocal world, and the strong nonlocal world are the channels, which are used occasionally, but the use probability of the former is higher than the latter. For the bipartite weighted network, which consists of 15595 clients and 1939 service channels, we propose an evolving model, which has the mechanism of different active degrees of clients, preferential attachment in the local world, random attachment in the weak nonlocal world by higher probability and in the strong nonlocal world by lesser probability, to discuss the network generating mechanism. Finally, by the method of numerical simulation, we validate the generating mechanism. The work is significant for the generating mechanism study of the bipartite weighted network related to the geographical location and the management of bank service channels.