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Revealing in-block nestedness: Detection and benchmarking.
Albert Solé-Ribalta1, Claudio J Tessone2, Manuel S Mariani3
1Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, 08860 Barcelona, Catalonia, Spain.
Physical Review. E
|July 18, 2018
Summary
Researchers developed a new method to detect "in-block nestedness," a property showing how networks combine nestedness and modularity. This finding challenges existing ecological and social system models.
Area of Science:
- Ecology
- Network Science
- Sociology
Background:
- Nestedness and modularity are two key network architectures.
- Their coexistence in systems like ecological networks is debated.
- Existing methods struggle to identify concurrent nestedness and modularity.
Purpose of the Study:
- To address the challenge of evaluating concurrent nestedness and modularity in complex systems.
- To introduce a new concept, in-block nestedness, for network analysis.
- To develop methods for identifying this organizational property.
Main Methods:
- Introduced the concept of in-block nestedness.
- Developed optimization methods to detect in-block nestedness.
- Applied methods to synthetic and real-world network data.
Main Results:
- Successfully identified in-block nestedness in various networks.
- Demonstrated the presence of combined nestedness and modularity.
- Provided a novel approach to network structure analysis.
Conclusions:
- Nestedness and modularity can coexist within network blocks.
- New models are needed to explain the emergence of these complex network patterns.
- The findings impact the understanding of ecological and social system organization.
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