Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bogu����, Mari��n"'
Real networks often grow through the sequential addition of new nodes that connect to older ones in the graph. However, many real systems evolve through the branching of fundamental units, whether those be scientific fields, countries, or species. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4fd76feac7fa346954b9228fef4ad5d
http://arxiv.org/abs/1912.00704
http://arxiv.org/abs/1912.00704
Autor:
Reguera, David, Colomer-de-Sim��n, Pol, Encinas, Iv��n, Sort, Manel, Wedekind, Jan, Bogu����, Mari��n
Engaging in playful activities, such as playing a musical instrument, learning a language, or performing sports, is a fundamental aspect of human life. We present a quantitative empirical analysis of the engagement dynamics into playful activities. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caed56e99eaa149989a8485b038dd91b
http://arxiv.org/abs/1911.01864
http://arxiv.org/abs/1911.01864
Autor:
Bruno, Matteo, Sousa, Sandro Ferreira, Gursoy, Furkan, Serafino, Matteo, Vianello, Francesca V., Vrani��, Ana, Bogu����, Mari��n
Embedding a network in hyperbolic space can reveal interesting features for the network structure, especially in terms of self-similar characteristics. The hidden metric space, which can be thought of as the underlying structure of the network, is ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c3f7ab7328fea7f193ea20985a75362
http://arxiv.org/abs/1906.09082
http://arxiv.org/abs/1906.09082
We introduce Mercator, a reliable embedding method to map real complex networks into their hyperbolic latent geometry. The method assumes that the structure of networks is well described by the Popularity$\times$Similarity $\mathbb{S}^1/\mathbb{H}^2$
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::914d3094095d7ed4f178d10091b10b8d
http://arxiv.org/abs/1904.10814
http://arxiv.org/abs/1904.10814
The topology of many real complex networks has been conjectured to be embedded in hidden metric spaces, where distances between nodes encode their likelihood of being connected. Besides of providing a natural geometrical interpretation of their compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d9041ffd2351139a9a938975d93511
http://arxiv.org/abs/1601.03891
http://arxiv.org/abs/1601.03891