Synopsis of Social media discussions
The overall discussions reflect appreciation for the novel approach of simulating networks as physical systems, with phrases like 'natural emergence' and 'new measures' indicating curiosity and recognition of impact. The tone is analytical and supportive, emphasizing how this method could advance understanding of dynamical systems and their geometrical properties.
Agreement
Moderate agreementMost discussions agree that the research offers valuable insights into the topology of recurrence-based networks, with some emphasizing its innovative approach to geometrical analysis.
Interest
High level of interestPosts show high interest, often highlighting the novelty of simulating physical models like springs and charged particles to understand network structures.
Engagement
Moderate level of engagementParticipants actively discuss the methods and potential implications, indicating genuine engagement with the material.
Impact
Moderate level of impactThe discussion suggests the work could influence future research in complex systems and network analysis, though some posts remain speculative about practical applications.
Social Mentions
YouTube
5 Videos
Bluesky
1 Posts
News
23 Articles
Metrics
Video Views
413
Total Likes
6
Extended Reach
641
Social Features
29
Timeline: Posts about article
Top Social Media Posts
Recurrence Plots
Optimizing self-organized topology of recurrence-based complex networks doi.org/10.1063/5.02...
(fun fact: there is another paper with almost the same title: doi.org/10.1063/1.48...)
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Posts referencing the article
Self-Organizing Network Modeling of 3D Objects for Manufacturing and Design
This paper introduces a self-organizing network representation of 3D objects, where each voxel is a node connected by proximity. The network is structured through a balance of forces, enabling effective reassembly of 3D geometry for advanced manufacturing and design applications.
July 30, 2020
222 views
Self-Organizing Recurrence Networks Using Physical Models
This research develops a self-organizing method to determine the geometric structure of recurrence-based complex networks by simulating the network as a physical system with springs and charged particles, allowing the network's shape to emerge naturally through energy minimization.
July 8, 2021
95 views
Self-Organizing Topology of Recurrence-Based Complex Networks
This research develops a self-organizing method to determine the geometric structure of recurrence-based complex networks by simulating the network as a physical system with springs and charged particles, allowing the network's shape to emerge naturally through energy minimization.
July 8, 2021
35 views
Self-Organizing Recurrence Network Topology Based on Physical Modeling
This research develops a self-organizing method to determine the geometric structure of recurrence-based complex networks by simulating the network as a physical system with springs and charged particles, allowing the network's shape to emerge naturally through energy minimization.
July 8, 2021
33 views
Self-Organizing Topology in Recurrence-Based Complex Networks
This research develops a method to determine the geometric structure of recurrence-based complex networks by simulating physical systems. It aims to recover the original system attractor and provide insights into the network’s spatial and geometric properties beyond conventional measures.
July 8, 2021
29 views
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Optimizing self-organized topology of recurrence-based complex networks doi.org/10.1063/5.02... (fun fact: there is another paper with almost the same title: doi.org/10.1063/1.48...)
view full postMarch 20, 2025
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Publications
Li, C, Lai, JCS & Oberst, S 2025, 'Optimizing self-organized topology of recurrence-based complex networks', Chaos: An Interdisciplinary Journal of Nonlinear ...
view full postDecember 10, 2025
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Dr Sebastian Oberst
Book Chapters | 2019. Lu S; Oberst S; Zhang G; Luo Z, 2019, 'Novel Order Patterns Recurrence Plot-Based ... organized topology of recurrence-based complex ...
view full postDecember 10, 2025
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非线性时间序列的复杂网络分析
Self-organized topology of recurrence-based complex networks. Chaos, 2013, 23: 043116. 47 Liu C, Zhou W X. Superfamily classification of nonstationary time ...
view full postDecember 10, 2025
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Comparative Evaluation of ECG and Motion Signals in the Context ...
Self-organized topology of recurrence-based complex networks. Chaos Interdiscip. J. Nonlinear Sci. 2013, 23, 043116. [Google Scholar] [CrossRef]; Meyers, A ...
view full postDecember 10, 2025
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Digital Twinning and Optimization of Manufacturing Process Flows ...
Furthermore, agent-based models (ABM) represent and simulate complex ... G. ,. 2013. , “. Self-Organized Topology of Recurrence-Based Complex Networks. ,”.
view full postDecember 10, 2025
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Hui Yang
Hui Yang and Gang Liu, 2013, "Self-organized topology of recurrence-based complex networks", Chaos: An Interdisciplinary Journal of Nonlinear Science, 23 ...
view full postDecember 10, 2025
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Complex network approaches to nonlinear time series analysis
Liu, Self-organized topology of recurrence-based complex networks, Chaos 23 (4) (2013) 043116. doi:10.1063/1.4829877. [125] M. Thiel, M. C. Romano, J ...
view full postDecember 10, 2025
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Conggai Li (李聪改) - Google Scholar
Epileptic seizure prediction based on permutation entropy. Y Yang, M ... Optimizing self-organized topology of recurrence-based complex networks. C Li ...
view full postDecember 10, 2025
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Software Toolbox
If you find this demo useful, please cite the following sources: [1] H. Yang and G. Liu, “Self-organized topology of recurrence-based complex networks,” Chaos, ...
view full postDecember 10, 2025
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Recurrence network analysis of design-quality interactions in ...
Yang H, Liu G, Self-organized topology of recurrence-based complex networks, Chaos Interdiscip. J. Nonlinear Sci. 23 (4) (2013), 043116. [DOI] [PubMed] ...
view full postDecember 10, 2025
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Iot Monitoring | PDF | Internet Of Things | Agriculture
Yang H, 2013, CHAOS, V23, DOI 10.1063/1.4829877; Yang H, 2013, IEEE T AUTOM SCI ENG, V10, P938, DOI 10.1109/TASE.2013.2263497; Yang H, 2013, INT J COMPUT ...
view full postDecember 10, 2025
News
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Complex Network Approaches To Nonlinear Time Series Analysis ...
doi:10.1063/1.4829877. [125] M. Thiel, M. C. Romano, J. Kurths, How much information is contained in a recurrence plot?, Phys. Lett. A 330 (5) (2004) 343 ...
view full postDecember 10, 2025
News
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Sebastian Oberst | Research outputs | University of Technology ...
Optimizing self-organized topology of recurrence-based complex networks. 1 ... Recurrence Plot (RP) based Fourier-spectra constructed through τ-Recurrence ...
view full postDecember 10, 2025
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Force-directed approaches to sensor localization | ACM ...
... networks, can reconstruct complex underlying topologies, and is resilient to noise. ... Neighborhood-based topology recognition in sensor networks. In Proceedings ...
view full postDecember 10, 2025
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Detail of the recurrence plot of (A) the quasiperiodically forced ...
Optimizing self-organized topology of recurrence-based complex networks ... complex network methods for the characterization of dynamical systems based on ...
view full postDecember 10, 2025
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[PDF] Complex Systems Monitoring, Modeling and Analysis ...
Self-organized topology of recurrence-based complex networks. Hui YangGang Liu. Mathematics, Physics. Chaos. 2013. TLDR. A self-organizing approach to derive ...
view full postDecember 10, 2025
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Conggai Li
Optimizing self-organized topology of recurrence-based complex networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(3). Li, C., Ni, W ...
view full postDecember 10, 2025
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Sebastian Oberst (0000-0002-1388-2749) - ORCID
Optimizing self-organized topology of recurrence-based complex networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2025-03-01 | Journal ...
view full postDecember 10, 2025
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Self-organizing Network - File Exchange - MATLAB Central
Liu, “Self-organized topology of recurrence-based complex networks,” Chaos, Vol. 23, No. 4, p. 043116, 2013, DOI: 10.1063/1.4829877G. [2] Liu and H. Yang ...
view full postDecember 10, 2025
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Optimizing self-organized topology of recurrence-based complex ...
G. Liu. , “. Self-organized topology of recurrence-based complex networks. ,”. Chaos. 23. ,. 043116.
view full postMarch 6, 2025
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Optimizing self-organized topology of recurrence-based complex ...
Optimizing self-organized topology of recurrence-based complex networks · AIP Publishing Logo. Chaos: An Interdisciplinary Journal of Nonlinear ...
view full postMarch 6, 2025
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Recurrence network and recurrence plot: A novel data analytic ...
The potential of graph theoretical/complex network-based ... Yang et al. Self-organized topology of recurrence-based complex networks ...
view full postNovember 15, 2022
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Unified functional network and nonlinear time series analysis for ...
Self-organized topology of recurrence-based complex networks. Chaos 23, 043116 (2013); 10.1063/1.4829877. Generalized synchronization of ...
view full postNovember 4, 2015
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Abstract Synopsis
- This research develops a self-organizing method to determine the geometric structure of recurrence-based complex networks by simulating the network as a physical system with springs and charged particles, allowing the network's shape to emerge naturally through energy minimization.
- The approach aims to recover the original attractor of a dynamical system that generated the network, providing insights into the spatial arrangement and geometrical properties of the network beyond traditional connectivity measures.
- By incorporating physical models into recurrence analysis, the study introduces new measures like average path length and proximity ratio based on actual distances between nodes, enhancing understanding of the network’s topology and its relation to the underlying dynamical system.
Recurrence Plots
@recurrence-plot.tk (Bluesky)