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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/626474 |
| Date | 22 November 2017 |
| Creators | Shanafelt, D. W., Salau, K. R., Baggio, J. A. |
| Contributors | Univ Arizona, Dept Math |
| Publisher | ROYAL SOC |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article |
| Rights | © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License. |
| Relation | http://rsos.royalsocietypublishing.org/lookup/doi/10.1098/rsos.171227 |
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