From Persistence to Resilience: New Betti Numbers for Analyzing Robustness in Simplicial Complex Networks

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Main Authors: Hernández-García, Pablo, Serrano, Daniel Hernández, Gómez, Darío Sánchez
Format: Preprint
Published: 2025
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author Hernández-García, Pablo
Serrano, Daniel Hernández
Gómez, Darío Sánchez
author_facet Hernández-García, Pablo
Serrano, Daniel Hernández
Gómez, Darío Sánchez
contents Persistent homology is a fundamental tool in topological data analysis; however, it lacks methods to quantify the fragility or fineness of cycles, anticipate their formation or disappearance, or evaluate their stability beyond persistence. Furthermore, classical Betti numbers fail to capture key structural properties such as simplicial dimensions and higher-order adjacencies. In this work, we investigate the robustness of simplicial networks by analyzing cycle thickness and their resilience to failures or attacks. To address these limitations, we draw inspiration from persistent homology to introduce filtrations that model distinct simplicial elimination rules, leading to the definition of two novel Betti number families: thick and cohesive Betti numbers. These improved invariants capture richer structural information, enabling the measurement of the thickness of the links in the homology cycle and the assessment of the strength of their connections. This enhances and refines classical topological descriptors and our approach provides deeper insights into the structural dynamics of simplicial complexes and establishes a theoretical framework for assessing robustness in higher-order networks. Finally, we establish that the resilience of topological features to simplicial attacks can be systematically examined through biparameter persistence modules, wherein one parameter encodes the progression of the attack, and the other captures structural refinements informed by thickness or cohesiveness.
format Preprint
id arxiv_https___arxiv_org_abs_2505_10467
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From Persistence to Resilience: New Betti Numbers for Analyzing Robustness in Simplicial Complex Networks
Hernández-García, Pablo
Serrano, Daniel Hernández
Gómez, Darío Sánchez
Algebraic Topology
Primary 55N31, Secondary 55U10, 05E45, 05C82, 92C42
Persistent homology is a fundamental tool in topological data analysis; however, it lacks methods to quantify the fragility or fineness of cycles, anticipate their formation or disappearance, or evaluate their stability beyond persistence. Furthermore, classical Betti numbers fail to capture key structural properties such as simplicial dimensions and higher-order adjacencies. In this work, we investigate the robustness of simplicial networks by analyzing cycle thickness and their resilience to failures or attacks. To address these limitations, we draw inspiration from persistent homology to introduce filtrations that model distinct simplicial elimination rules, leading to the definition of two novel Betti number families: thick and cohesive Betti numbers. These improved invariants capture richer structural information, enabling the measurement of the thickness of the links in the homology cycle and the assessment of the strength of their connections. This enhances and refines classical topological descriptors and our approach provides deeper insights into the structural dynamics of simplicial complexes and establishes a theoretical framework for assessing robustness in higher-order networks. Finally, we establish that the resilience of topological features to simplicial attacks can be systematically examined through biparameter persistence modules, wherein one parameter encodes the progression of the attack, and the other captures structural refinements informed by thickness or cohesiveness.
title From Persistence to Resilience: New Betti Numbers for Analyzing Robustness in Simplicial Complex Networks
topic Algebraic Topology
Primary 55N31, Secondary 55U10, 05E45, 05C82, 92C42
url https://arxiv.org/abs/2505.10467