English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Node-weighted recurrence analysis for path dynamics on networks

Schmaus, A., Marwan, N., Molkenthin, N. (2026 online): Node-weighted recurrence analysis for path dynamics on networks. - European Physical Journal - Special Topics.
https://doi.org/10.1140/epjs/s11734-026-02337-4

Item is

Files

show Files
hide Files
:
s11734-026-02337-4.pdf (Publisher version), 2MB
Name:
s11734-026-02337-4.pdf
Description:
-
OA-Status:
Hybrid
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Schmaus, Alexander1, Author                 
Marwan, Norbert1, Author                 
Molkenthin, Nora1, 2, Author                 
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2026-01-302026-04-202026-05-16
 Publication Status: Published online
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjs/s11734-026-02337-4
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Agent-based Models
MDB-ID: No MDB - stored outside PIK (see locators/paper)
OATYPE: Hybrid - DEAL Springer Nature
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: European Physical Journal - Special Topics
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer