Copy-Spread-Annihilate Dynamics in Degree-Assortative Networks
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866917375105826816 |
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| author | Hao, Yan Graham, Daniel J. Hütt, Marc-Thorsten |
| author_facet | Hao, Yan Graham, Daniel J. Hütt, Marc-Thorsten |
| contents | In many systems, communication proceeds by broadcasting rather than single source-target routing, but network structures that maximize signal lifetime are not well understood. Degree correlations are known to influence robustness and spreading, yet their effect on signal persistence has remained unclear. Here we introduce Copy-Spread-Annihilate dynamics, a minimal synchronous broadcasting model with annihilation. We show that signal lifetimes vary non-monotonically with assortativity and are maximized near neutral assortativity, where hub-driven amplification is strong but annihilation via short cycles is still limited. Applying this framework to the mouse connectome suggests assortativity as a structural control parameter for broadcast signal persistence in brain-like and other complex networks. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2603_29833 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Copy-Spread-Annihilate Dynamics in Degree-Assortative Networks Hao, Yan Graham, Daniel J. Hütt, Marc-Thorsten Neurons and Cognition Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems Physics and Society In many systems, communication proceeds by broadcasting rather than single source-target routing, but network structures that maximize signal lifetime are not well understood. Degree correlations are known to influence robustness and spreading, yet their effect on signal persistence has remained unclear. Here we introduce Copy-Spread-Annihilate dynamics, a minimal synchronous broadcasting model with annihilation. We show that signal lifetimes vary non-monotonically with assortativity and are maximized near neutral assortativity, where hub-driven amplification is strong but annihilation via short cycles is still limited. Applying this framework to the mouse connectome suggests assortativity as a structural control parameter for broadcast signal persistence in brain-like and other complex networks. |
| title | Copy-Spread-Annihilate Dynamics in Degree-Assortative Networks |
| topic | Neurons and Cognition Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems Physics and Society |
| url | https://arxiv.org/abs/2603.29833 |