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In this article, we address mobility network generation, i.e., generating a city\u2019s entire mobility network, a weighted directed graph in which nodes are geographic locations and weighted edges represent people\u2019s movements between those locations, thus describing the entire mobility set flows within a city. Our solution is MoGAN, a model based on Generative Adversarial Networks (GANs) to generate realistic mobility networks. We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of the generated networks. Our model can be used for data augmentation and performing simulations and what-if analysis.<\/jats:p>","DOI":"10.1140\/epjds\/s13688-022-00372-4","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T08:03:06Z","timestamp":1670227386000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Generating mobility networks with generative adversarial networks"],"prefix":"10.1140","volume":"11","author":[{"given":"Giovanni","family":"Mauro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimiliano","family":"Luca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Longa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruno","family":"Lepri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Pappalardo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"key":"372_CR1","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1145\/1007352.1007371","volume-title":"Proceedings of the thirty-sixth annual ACM symposium on theory of computing","author":"N Alon","year":"2004","unstructured":"Alon N, Naor A (2004) Approximating the cut-norm via Grothendieck\u2019s inequality. 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