PLOS Complex Systems
2024 - 2025
From Public Library of Science Bibliographic data for series maintained by complexsystem (). Access Statistics for this journal.
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Volume 2, issue 6, 2025
- Informing pandemic intervention strategies through coupled contact tracing and network node prioritization pp. 1-16

- Adithya Narayanan, Sarah Muldoon, Matthew Jehrio and Rachael Hageman Blair
- Efficient and accurate simulation of infectious diseases on adaptive networks pp. 1-21

- Nils Gubela and Max von Kleist
- Persistence of wealth inequality from network effects pp. 1-18

- Edoardo F Naggi, Simone Rossini, José S Andrade, Caterina AM La Porta and Stefano Zapperi
Volume 2, issue 5, 2025
- Centrality in complex networks under incomplete data pp. 1-22

- Sergey Shvydun
- Energy landscape analysis based on the Ising model: Tutorial review pp. 1-35

- Naoki Masuda, Saiful Islam, Si Thu Aung and Takamitsu Watanabe
Volume 2, issue 4, 2025
- Complex economics of simple periodic systems pp. 1-14

- Petri P Kärenlampi
- Environmental variability promotes the evolution of cooperation among geographically dispersed groups on dynamic networks pp. 1-15

- Masaaki Inaba and Eizo Akiyama
- Evolution of conditional cooperation in a spatial public goods game pp. 1-13

- Francesca Federico, Raksha Balakrishna and Marco A Janssen
- How local spectral gaps regulate the multistability of Turing patterns on graphs pp. 1-17

- Selim Haj Ali and Marc-Thorsten Hütt
Volume 2, issue 3, 2025
- Memory signatures in path curvature of self-avoidant model particles are revealed by time delayed self mutual information pp. 1-17

- Katherine Daftari and Katherine A Newhall
Volume 2, issue 2, 2025
- Just in time vs. all in sync: An analysis of two types of synchronization in a minimal model of machine activity in industrial production pp. 1-24

- Sanghita Bose, Annick Lesne, Julia Arlinghaus and Marc-Thorsten Hütt
- Patterns of co-occurrent skills in UK job adverts pp. 1-25

- Zhaolu Liu, Jonathan M Clarke, Bertha Rohenkohl and Mauricio Barahona
Volume 2, issue 1, 2025
- Difficult control is related to instability in biologically inspired Boolean networks pp. 1-20

- Bryan C Daniels and Enrico Borriello
- Urban scaling with censored data pp. 1-22

- Inês Figueira, Rayan Succar, Roni Barak Ventura and Maurizio Porfiri
Volume 1, issue 4, 2024
- ALAAMEE: Open-source software for fitting autologistic actor attribute models pp. 1-32

- Alex Stivala, Peng Wang and Alessandro Lomi
- Vertex clustering in diverse dynamic networks pp. 1-29

- Devavrat Vivek Dabke and Olga Dorabiala
- Truth set size prediction by Newton’s cooling law pp. 1-16

- Yuji Fujita, Noritaka Usami, Toshiaki Fujii and Hiroaki Nagai
Volume 1, issue 3, 2024
- Leveraging mathematical modeling framework to guide regimen strategy for phage therapy pp. 1-31

- Zhiyuan Yu, Tiffany Luong, Selenne Banuelos, Andrew Sue, Hwayeon Ryu, Rebecca Segal, Dwayne R Roach and Qimin Huang
- Autonomous and ubiquitous in-node learning algorithms of active directed graphs and its storage behavior pp. 1-33

- Hui Wei, Fushun Li and Weihua Miao
- Well-connectedness and community detection pp. 1-25

- Minhyuk Park, Yasamin Tabatabaee, Vikram Ramavarapu, Baqiao Liu, Vidya Kamath Pailodi, Rajiv Ramachandran, Dmitriy Korobskiy, Fabio Ayres, George Chacko and Tandy Warnow
Volume 1, issue 2, 2024
- Pattern detection in bipartite networks: A review of terminology, applications, and methods pp. 1-34

- Zachary P Neal, Annabell Cadieux, Diego Garlaschelli, Nicholas J Gotelli, Fabio Saracco, Tiziano Squartini, Shade T Shutters, Werner Ulrich, Guanyang Wang and Giovanni Strona
- Axioms for clustering simple unweighted graphs: No impossibility result pp. 1-27

- James Willson and Tandy Warnow
- Moving beyond simulation and learning: Unveiling the potential of complexity data science pp. 1-4

- Frank Emmert-Streib, Hocine Cherifi, Stuart Kauffman and Olli Yli-Harja
- Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks pp. 1-28

- Aldo Acevedo, Yue Wu, Fabio Lorenzo Traversa and Carlo Vittorio Cannistraci
Volume 1, issue 1, 2024
- Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution pp. 1-20

- Felipe S Abrahão, Santiago Hernández-Orozco, Narsis A Kiani, Jesper Tegnér and Hector Zenil
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