Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Guimera`, Roger"'
We study the influence that research environments have in shaping careers of early-career faculty in terms of their research portfolio. We find that departments exert an attractive force over early-career newcomer faculty, who after their incorporati
Externí odkaz:
http://arxiv.org/abs/2407.19607
Modeling of human mobility is critical to address questions in urban planning and transportation, as well as global challenges in sustainability, public health, and economic development. However, our understanding and ability to model mobility flows
Externí odkaz:
http://arxiv.org/abs/2312.11281
Estimating the Shannon entropy of a discrete distribution from which we have only observed a small sample is challenging. Estimating other information-theoretic metrics, such as the Kullback-Leibler divergence between two sparsely sampled discrete di
Externí odkaz:
http://arxiv.org/abs/2301.13647
Scientists collaborate through intricate networks, which impact the quality and scope of their research. At the same time, funding and institutional arrangements, as well as scientific and political cultures, affect the structure of collaboration net
Externí odkaz:
http://arxiv.org/abs/2211.01936
Autor:
Fajardo-Fontiveros, Oscar, Reichardt, Ignasi, Rios, Harry R. De Los, Duch, Jordi, Sales-Pardo, Marta, Guimera, Roger
Given a finite and noisy dataset generated with a closed-form mathematical model, when is it possible to learn the true generating model from the data alone? This is the question we investigate here. We show that this model-learning problem displays
Externí odkaz:
http://arxiv.org/abs/2204.02704
Autor:
Doerrier, Carolina, Gama-Perez, Pau, Pesta, Dominik, Distefano, Giovanna, Soendergaard, Stine D., Chroeis, Karoline Maise, Gonzalez-Franquesa, Alba, Goodpaster, Bret H., Prats, Clara, Sales-Pardo, Marta, Guimera, Roger, Coen, Paul M., Gnaiger, Erich, Larsen, Steen, Garcia-Roves, Pablo M.
Publikováno v:
In Free Radical Biology and Medicine October 2024 223:384-397
Network inference is the process of learning the properties of complex networks from data. Besides using information about known links in the network, node attributes and other forms of network metadata can help to solve network inference problems. I
Externí odkaz:
http://arxiv.org/abs/2103.14424
Many studies have shown that there are regularities in the way human beings make decisions. However, our ability to obtain models that capture such regularities and can accurately predict unobserved decisions is still limited. We tackle this problem
Externí odkaz:
http://arxiv.org/abs/2103.06121
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena March 2024 180
Publikováno v:
EPJ Data Science 7:48 (2018)
Advancing our understanding of human behavior hinges on the ability of theories to unveil the mechanisms underlying such behaviors. Measuring the ability of theories and models to predict unobserved behaviors provides a principled method to evaluate
Externí odkaz:
http://arxiv.org/abs/2004.12151