Do-it-yourself networks: a novel method of generating weighted networks

作者：Shanafelt D W^*; Salau K R; Baggio J A

来源：Royal Society Open Science, 2017, 4(11): 171227.

DOI：10.1098/rsos.171227

• adjacency matrix
• network and graph theory
• optimization
• weighted network

Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social-ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user- defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open- source code for academic purposes.

• 出版日期2017-11