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future where science is open to all, for all.">We believe in a better future where science is open to all, for all.</a></h1> <div class="blurb authors"></div> <p class="credit">Image credit: PLOS Complex Systems</p> </div> </div> </div> <div class="row one"> <article class="block medium image" id="cellcat-1-1"> <div class="block-content"> <p class="date">02/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000032" alt="Human languages trade off complexity against efficiency">Human languages trade off complexity against efficiency</a></h2> <div class="blurb"> <p>The authors trained different language models, from simple statistical models to advanced neural networks, on a database of 41 multilingual text collections comprising a wide variety of text types, which together include nearly 3 billion words across more than 6,500 documents in over 2,000 languages. The trained models were then used to estimate entropy rates, a complexity measure derived from information theory. </p> </div> </div> <p class="credits">Image credit: Annie Spratt</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000032" alt="Human languages trade off complexity against efficiency"><img alt="Human languages trade off complexity against efficiency" data-file-extension="jpg" src="/complexsystems/indirect/1aeddf8d95486e293d087b6fedb74257acaa7de6f40e8b88e83a724b3c7e8b83"></a> </article> <article class="block medium image" id="cellcat-1-1"> <div class="block-content"> <p class="date">02/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000028" alt="Patterns of co-occurrent skills in UK job adverts">Patterns of co-occurrent skills in UK job adverts</a></h2> <div class="blurb"> <p>This study used a large data set of 65 million job adverts between 2016 and 2022 across the whole of the UK to examine the patterns of skills required together by employers. The authors found clusters of skills that appear together in adverts often, but these clusters do not always agree with how experts group skills based on competencies or qualifications.</p> </div> </div> <p class="credits">Image credit: Liu et al</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000028" alt="Patterns of co-occurrent skills in UK job adverts"><img alt="Patterns of co-occurrent skills in UK job adverts" data-file-extension="jpg" src="/complexsystems/indirect/c8a61becdeef37e82ea5d7076b7d59216c9833bbcbfd76704acda3361369c9b9"></a> </article> </div> <div class="row two"> <article class="block medium image" id="cellcat-1-2"> <div class="block-content"> <p class="date">01/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000025" alt="Difficult control is related to instability in biologically inspired Boolean networks">Difficult control is related to instability in biologically inspired Boolean networks</a></h2> <div class="blurb"> <p>Previous work in Boolean dynamical networks has suggested that the number of components that must be controlled to select an existing attractor is typically set by the number of attractors admitted by the dynamics, with no dependence on the size of the network. This study investigates the rare cases of networks that defy this expectation, with attractors that require controlling most nodes. </p> </div> </div> <p class="credits">Image credit: Daniels & Borriello</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000025" alt="Difficult control is related to instability in biologically inspired Boolean networks"><img alt="Difficult control is related to instability in biologically inspired Boolean networks" data-file-extension="jpg" src="/complexsystems/indirect/cbda027087ba5f3185305942ccb827c1c5a81504c25d77c3eff4d3ced6946ac1"></a> </article> <article class="block medium image" id="cellcat-1-3"> <div class="block-content"> <p class="date">01/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000029" alt="Urban scaling with censored data">Urban scaling with censored data</a></h2> <div class="blurb"> <p>Over the past two decades, urban scaling has become essential for understanding the rural-urban continuum by quantifying how urban characteristics depend on a city鈥檚 population size. Nonetheless, access to incomplete datasets about urban features systematically skews the conclusions derived from this theory. To address this limitation, the authors developed a framework that enables urban researchers to draw reliable conclusions about urban scaling, even when dealing with censored datasets.</p> </div> </div> <p class="credits">Image credit: John O'Nolan</p><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000029" alt="Urban scaling with censored data"><img alt="Urban scaling with censored data" data-file-extension="jpg" src="/complexsystems/indirect/c99f8ca2c627fc98e8382f79c626675aff8d4446d188d6d780e8165b91f86a9c"></a> </article> </div> <div class="row three"> <div class="column left"> <article class="block large image" id="cellcat2-1"> <div class="block-content"> <p class="date">01/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000026" alt="Statistical complexity of heterogeneous geometric networks">Statistical complexity of heterogeneous geometric networks</a></h2> <div class="blurb"> <p>Degree heterogeneity and latent geometry, also referred to as popularity and similarity, are key explanatory components underlying the structure of real-world networks. The relationship between these components and the statistical complexity of networks is not well understood. This study introduces a parsimonious normalised measure of statistical complexity for networks</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000026" alt="Statistical complexity of heterogeneous geometric networks"><img alt="Statistical complexity of heterogeneous geometric networks" data-file-extension="jpg" src="/complexsystems/indirect/8f451fc6f72828f4ce43c8641f2668be83c83973efbffdfb9d0fe28e014e7993"></a> <p class="credits">Image credit: K.M. Smith & J.P. Smith</p> </article> <article class="block large image" id="cellcat2-2"> <div class="block-content"> <p class="date">01/03/2025</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000027" alt="Cyclic image generation using chaotic dynamics">Cyclic image generation using chaotic dynamics</a></h2> <div class="blurb"> <p>The authors developed a new approach to generate sequences of related images by extending a type of deep learning model called CycleGAN. This model learns to transform images among three different categories in a cyclic manner. For example, it can turn an image of a T-shirt into a sneaker, then a bag, and back to a T-shirt.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000027" alt="Cyclic image generation using chaotic dynamics"><img alt="Cyclic image generation using chaotic dynamics" data-file-extension="jpg" src="/complexsystems/indirect/770820e29c4a0e743a0c94166a4eb9a61be896b6ab384b5c3c738ec4a96edc76"></a> <p class="credits">Image credit: Tanaka & Yamaguti</p> </article> <article class="block large image" id="cellcat2-3"> <div class="block-content"> <p class="date">12/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000022" alt="Rules, hypergraphs, and probabilities: The three-level analysis of chemical reaction systems and other stochastic stoichiometric population processes">Rules, hypergraphs, and probabilities: The three-level analysis of chemical reaction systems and other stochastic stoichiometric population processes</a></h2> <div class="blurb"> <p>This study investigates the inter-level relations that propagate constraint and order upward and downward from mechanisms to population-level dynamics.</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000022" alt="Rules, hypergraphs, and probabilities: The three-level analysis of chemical reaction systems and other stochastic stoichiometric population processes"><img alt="Rules, hypergraphs, and probabilities: The three-level analysis of chemical reaction systems and other stochastic stoichiometric population processes" data-file-extension="jpg" src="/complexsystems/indirect/abe447354932f0ab533cfff4da143bb798627a30997a7f50c3150539a8bbb9ad"></a> <p class="credits">Image credit: Eric Smith</p> </article> <div class="row-small-blocks"> <article class="block small image" id="cellcat3-1"> <div class="block-content"> <p class="date">12/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000024" alt="Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age">Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age</a></h2> <div class="blurb"> <p>This study explored how the brains of babies born earlier than normal develop up until the time when most babies are born. </p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000024" alt="Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age"><img alt="Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age" data-file-extension="jpg" src="/complexsystems/indirect/8ed569b02264b72257053c9b1f8fb59f78877adc2afca371467e3c90548e2127"></a> <p class="credits">Image credit: Weber et al</p> </article> <article class="block small image" id="cellcat3-2"> <div class="block-content"> <p class="date">12/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000020" alt="Truth set size prediction by Newton鈥檚 cooling law">Truth set size prediction by Newton鈥檚 cooling law</a></h2> <div class="blurb"> <p>In this study, the authors propose a method to predict the value of recall of the unfinished work, for example, survey or inquiry still in progress. </p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000020" alt="Truth set size prediction by Newton鈥檚 cooling law"><img alt="Truth set size prediction by Newton鈥檚 cooling law" data-file-extension="jpg" src="/complexsystems/indirect/c14f5b30f6a1d052ec00061e29bafa2bf87eddc4038630e69831c5b7a7a80e6c"></a> <p class="credits">Image credit: Visax</p> </article> <article class="block small image" id="cellcat3-3"> <div class="block-content"> <p class="date">12/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000023" alt="Vertex clustering in diverse dynamic networks">Vertex clustering in diverse dynamic networks</a></h2> <div class="blurb"> <p>The authors present theoretical and experimental results for spatiotemporal graph k-means (STGkM)鈥攁 new unsupervised method to cluster vertices within a dynamic network. </p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000023" alt="Vertex clustering in diverse dynamic networks"><img alt="Vertex clustering in diverse dynamic networks" data-file-extension="jpg" src="/complexsystems/indirect/1c345ab80f074093e00bd594f51b898cea025f044f19bf9fd0c7cc3baa430a9f"></a> <p class="credits">Image credit: Olga Dorabiala</p> </article> <article class="block small image" id="cellcat3-4"> <div class="block-content"> <p class="date">12/03/2024</p> <p class="category">Research Article</p> <h2 class="title"><a href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000021" alt="ALAAMEE: Open-source software for fitting autologistic actor attribute models">ALAAMEE: Open-source software for fitting autologistic actor attribute models</a></h2> <div class="blurb"> <p> This work introduces ALAAMEE, an open-source Python software for estimation, simulation, and goodness-of-fit testing for ALAAM models</p> </div> </div><a class="block-image" href="https://journals.plos.org/complexsystems/article?id=10.1371/journal.pcsy.0000021" alt="ALAAMEE: Open-source software for fitting autologistic actor attribute models"><img alt="ALAAMEE: Open-source software for fitting autologistic actor attribute models" data-file-extension="jpg" src="/complexsystems/indirect/75bafd46a3a958f03e6e02cf04538b9e244771938661b56c4adca7f54c429d01"></a> <p class="credits">Image credit: Joel Filipe</p> </article> </div> </div> <div class="column right"> <div id="external-content-top"> <div id="submission-links"> <h3>Publish with PLOS</h3> <ul class="split-container"> <li class="split-item"><a href="/complexsystems/s/submit-now" id="submissionInstruct">Submission Instructions</a></li> <li class="split-item"><a href="https://www.editorialmanager.com/pcsy" id="submissionManu">Submit Your Manuscript</a></li> </ul> </div> <div id="social-links"> <h3>Connect with Us</h3> <ul class="social-media"> <li id="social-link-email"><a href="/complexsystems/s/contact" 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