Do-it-yourself networks: a novel method of generating weighted networks
AffiliationUniv Arizona, Dept Math
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CitationDo-it-yourself networks: a novel method of generating weighted networks 2017, 4 (11):171227 Royal Society Open Science
JournalRoyal Society Open Science
Rights© 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License.
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AbstractNetwork 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.
VersionFinal published version
SponsorsTULIP Laboratory of Excellence [ANR-10-LABX-41]; BIOSTASES Advanced Grant - European Research Council under the European Union's Horizon Research and Innovation Programme ; NSF Alliance for Building Faculty Diversity Postdoctoral Fellowship (NSF 733 grant) [DMS-0946431]; NSF Advanced Cyberinfrastructure