April 16, 2024Open Access

Cramer's moderate deviations of modularity in network

YMYu MiaoNorth China Electric Power University YQYin QingChengdu Medical College

Key Points

Key points are not available for this paper at this time.

Abstract

Complex networks play a crucial role in understanding physical, biological, social and technological systems. One of the most relevant features of graphs representing real systems is community structure. In this paper, for a specific partition of a given network, we prove the Cramer's moderate deviations of modularity for the partition when the size of the network gets large.

KI fragen

Bookmark

View Full Paper

Cite This Study

Miao et al. (Tue,) studied this question.

synapsesocial.com/papers/68e6f03ab6db64358766a8a3 https://doi.org/https://doi.org/10.48550/arxiv.2404.10802

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1On Inference for Modularity Statistics in Structured Networks2024
2On inference for modularity statistics in structured networks2024
3Block-corrected modularity for community detection2025
4Anti-modularization for both high robustness and efficiency including the optimal case2024 · 2 citations
5Comparing Modularity Scores across Different Social Networks: Pitfalls, Illustrations, and Suggestions2026

KI fragen

Bookmark

View Full Paper