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Alain Barrat on Muck Rack

Alain Barrat

As seen in: Nature, arXiv, PLOS, The Conversation, BioRxiv, The Lancet, medRxiv
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Articles

Generating surrogate temporal networks from mesoscale building blocks - Communications Physics

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By Giulia Cencetti, Alain Barrat
| Nature Verified
Abstract Surrogate networks can constitute suitable replacements for real networks, in particular to study dynamical processes on networks, when only incomplete or limited datasets are available. As empirical datasets most often present complex features and interplays between structure and temporal evolution, creating surrogate data is however a challenging task, in particular for data describing time-resolved interactions between agents.
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An embedding-based distance for temporal graphs - Nature Communications

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By Lorenzo Dall’amico, Alain Barrat
| Nature Verified
Abstract Temporal graphs are commonly used to represent time-resolved relations between entities in many natural and artificial systems. Many techniques were devised to investigate the evolution of temporal graphs by comparing their state at different time points. However, quantifying the similarity between temporal graphs as a whole is an open problem. Here, we use embeddings based on time-respecting random walks to introduce a new notion of distance between temporal graphs.
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The temporal dynamics of group interactions in higher-order social networks - Nature Communications

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By Iacopo Iacopini, Márton Karsai, Alain Barrat
| Nature Verified
Abstract Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing their dynamics. However, networks encode only pairwise interactions, while most social interactions occur among groups of individuals, requiring higher-order network representations. Despite the recent interest in higher-order networks, little is known about the mechanisms that govern the formation and evolution of groups, and how people move between groups.
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