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Vulnerable connectivity caused by local communities in spatial networks.

Yingzhou Mou¹, Yukio Hayashi¹

¹Japan Advanced Institute of Science and Technology, Nomi-city, Ishikawa, Japan.

|July 2, 2025

Summary

Strong local communities in spatial networks weaken connectivity robustness against attacks. Long-distance links can improve network resilience by mitigating these negative effects.

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Area of Science:

Network science
Spatial analysis
Infrastructure resilience

Background:

Spatial networks often exhibit local communities, which are clusters of nodes connected by short links.
The impact of these community structures on network robustness, particularly against malicious attacks, is not well understood.

Purpose of the Study:

To investigate how local community structures influence the robustness of spatial networks.
To assess the effect of these structures on connectivity under malicious attacks.

Main Methods:

Modeling planar infrastructure networks using node locations derived from statistical population data.
Analyzing the network's connectivity robustness in relation to the strength of local communities.

Main Results:

Strong local communities were found to significantly weaken the robustness of spatial networks.
The presence of strong local communities reduces the network's resilience to disruptions.

Conclusions:

Local community structures negatively impact spatial network robustness against attacks.
Incorporating long-distance links can enhance network resilience and counteract the detrimental effects of strong local communities.