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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

This summary is machine-generated.

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.

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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.