Node-weighted recurrence analysis for path dynamics on networks

Abstract Trajectories of units moving on networks are relevant for nonlinear dynamical systems as diverse as polymers, ocean drifters, and human mobility. Although RQA is a well-researched tool with applications in many areas, it has rarely been used for spatial trajectories on networks. Here, we explore the use of RQA for paths on networks. We find that path dynamics on networks display recurrence patterns that are not often described in other applications of recurrence analysis. In particular, the combination of diagonal lines and perpendicular diagonal lines, indicates backtracking paths. We find that recurrence analysis for path dynamics on networks can be helpful to (a) better understand the network structure if dynamic and recurrence plots are known, (b) better understand the dynamics if network and recurrence plots are known, and (c) understand the interaction between path dynamics and the underlying network.

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Publication Details

Journal
The European Physical Journal Special Topics
Published
2026-05-16
DOI
https://doi.org/10.1140/epjs/s11734-026-02337-4
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Node-weighted recurrence analysis for path dynamics on networks

N. Molkenthin, A. Schmaus, N. Marwan
The European Physical Journal Special Topics
Complex Network Analysis Techniques
article

Node-weighted recurrence analysis for path dynamics on networks

N. Molkenthin, A. Schmaus, N. Marwan
article en

Abstract

Abstract Trajectories of units moving on networks are relevant for nonlinear dynamical systems as diverse as polymers, ocean drifters, and human mobility. Although RQA is a well-researched tool with applications in many areas, it has rarely been used for spatial trajectories on networks. Here, we explore the use of RQA for paths on networks. We find that path dynamics on networks display recurrence patterns that are not often described in other applications of recurrence analysis. In particular, the combination of diagonal lines and perpendicular diagonal lines, indicates backtracking paths. We find that recurrence analysis for path dynamics on networks can be helpful to (a) better understand the network structure if dynamic and recurrence plots are known, (b) better understand the dynamics if network and recurrence plots are known, and (c) understand the interaction between path dynamics and the underlying network.

The European Physical Journal Special Topics
University of Potsdam (DE), Technische Universität Berlin (DE), Potsdam Institute for Climate Impact Research (DE)
Deutsche Bundesstiftung Umwelt
Life below water
Openalex Percentile: Top 4%
Complex Network Analysis Techniques
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