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

Abstract

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. ; TULIP Laboratory of Excellence [ANR-10-LABX-41]; BIOSTASES Advanced Grant - European Research Council under the European Union's Horizon Research and Innovation Programme [666971]; NSF Alliance for Building Faculty Diversity Postdoctoral Fellowship (NSF 733 grant) [DMS-0946431]; NSF Advanced Cyberinfrastructure [1639529] ; This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.