We review a class of energy landscape analysis method that uses the Ising model and takes multivariate time series data as input. The method allows one to capture dynamics of the data as trajectories of a ball from one basin to a different basin to yet another, constrained on the energy landscape specified by the…
PLOS Complex Systems Template
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About the PLOS Complex Systems format
PLOS Complex Systems is a peer-reviewed journal published by PLOS, covering Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Neural dynamics and brain function. Over its lifetime it has published 101 papers, which have received 162 citations.
| Publisher | PLOS |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. PLOS Complex Systems. 2023;12(3):45–58.
Formats any DOI in PLOS Complex Systems style. No sign-up. |
| Publishes research in | Complex Network Analysis Techniques Opinion Dynamics and Social Influence Neural dynamics and brain function COVID-19 epidemiological studies Evolutionary Game Theory and Cooperation |
| ISSN | 2837-8830 |
| Citation impact (2-yr) | 1.6 |
| h-index | 5 |
| i10-index | 3 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Santa Fe Institute |
| Journal website | journals.plos.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in PLOS Complex Systems per year
Citation impact of PLOS Complex Systems by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in PLOS Complex Systems
We formally prove the equivalence between Assembly Theory (AT) and Shannon Entropy via a method based upon the principles of statistical compression that belongs to the LZ family of popular compression algorithms. Such popular lossless compression algorithms behind file formats such as ZIP and PNG have been shown to empirically reproduce the results that AT…
Rectangular association matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics, and others. Because their columns and rows are associated to distinct entities, these matrices can be equivalently expressed as bipartite networks that, in turn, can be projected onto pairs of unipartite networks.…
Bacteriophage (phage) cocktail therapy has been relied upon more and more to treat antibiotic-resistant infections. Understanding of the complex kinetics between phages, target bacteria, and the emergence of phage resistance remain hurdles to successful clinical outcomes. Building upon previous mathematical concepts, we develop biologically-motivated nonlinear ordinary differential equation models to explore single, cocktail, and sequential…
Community detection methods help reveal the meso-scale structure of complex networks. Integral to detecting communities is the expectation that communities in a network are edge-dense and “well-connected”. Surprisingly, we find that five different community detection methods–the Leiden algorithm optimizing the Constant Potts Model, the Leiden algorithm optimizing modularity, Infomap, Markov Cluster (MCL), and Iterative k-core…