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Do-it-yourself networks: a novel method of generating weighted networks
D W Shanafelt1, K R Salau2, J A Baggio3
1Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier University, 09200 Moulis, France.
Royal Society Open Science
|January 2, 2018
Summary
This study introduces a new framework for creating weighted networks, which are crucial for understanding complex systems in ecology and social sciences. The method allows for user-defined criteria to generate specific network features, complementing existing unweighted network generation techniques.
Area of Science:
- Network theory applications in life and social sciences.
- Ecology, epidemiology, finance, and social-ecological systems.
Background:
- Existing network generation methods primarily focus on unweighted networks.
- A need exists for flexible methods to generate weighted networks.
Purpose of the Study:
- To present a novel framework for generating weighted networks.
- To enable the creation of networks that meet user-defined criteria.
Main Methods:
- A hierarchical approach to defining network features.
- Utilizing user-defined criteria to guide network generation.
Main Results:
- A framework for generating weighted networks based on specified criteria.
- Demonstration of the method using an ecological species dispersal example.
Conclusions:
- The presented framework offers a versatile tool for weighted network generation.
- Open-source code is provided for academic use in ecological and social science research.
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