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Dual communities in spatial networks
Franz Kaiser1,2, Philipp C Böttcher1, Henrik Ronellenfitsch3,4
1Forschungszentrum Jülich, Institute for Energy and Climate Research (IEK-STE), 52428, Jülich, Germany.
Nature Communications
|December 3, 2022
Summary
Spatial networks, like power grids and leaf veins, have communities. This study reveals dual communities, a new class of network structures that, along with traditional communities, help suppress failure spreading in optimized systems.
Area of Science:
- Network science
- Systems biology
- Complex systems
Background:
- Many natural and engineered supply systems, such as power grids and leaf venation networks, exhibit community structures.
- These networks must operate reliably under dynamic external conditions.
Purpose of the Study:
- To identify and define a new class of communities in spatial networks.
- To understand the role of network structure in suppressing failure spreading.
Main Methods:
- Analysis of spatial network structures.
- Identification of community structures based on connectivity.
- Modeling of failure spreading dynamics.
Main Results:
- A new class of communities, termed 'dual communities,' is identified based on strong inter-community connectivity.
- Both traditional and dual communities emerge as distinct phases in optimized network structures shaped by fluctuations.
- Both community types effectively suppress the spread of failures within the network.
Conclusions:
- Dual communities represent an important structural feature in optimized spatial networks.
- Understanding these community structures is crucial for designing resilient supply systems.
- The findings provide insights into the robustness of both natural and human-made networks.
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