Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Serrano, M. ��ngeles"'
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
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
Predicting missing links in real networks is an important problem in network science to which considerable efforts have been devoted, giving as a result a vast plethora of link prediction methods in the literature. In this work, we take a different p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b81738cbac4c970f20570a95772ba9b3
http://arxiv.org/abs/1902.00035
http://arxiv.org/abs/1902.00035
The combination of bistability and noise is ubiquitous in complex systems, from biological to social interactions, and has important implications for their functioning and resilience. We analyze a simple three-state model for bistability in networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24942753571dc33236643edc87c12320
http://arxiv.org/abs/1608.00428
http://arxiv.org/abs/1608.00428
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
The heterogeneity of reaction fluxes present in a metabolic network within a single flux state can be exploited to construct the so-called backbone as a reduced version of metabolism. The backbone maintains all significant fluxes producing or consumi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18a8e5c78331b492b2d188f70c94b43f
http://arxiv.org/abs/1412.3353
http://arxiv.org/abs/1412.3353
We present a minimal motif model for transmembrane cell signaling. The model assumes signaling events taking place in spatially distributed nanoclusters regulated by a birth/death dynamics. The combination of these spatio-temporal aspects can be modu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b69f5306b081c32526028feb740a938
http://arxiv.org/abs/1212.4745
http://arxiv.org/abs/1212.4745
Reliability on complex biological networks reconstructions remains a concern. Although observations are getting more and more precise, the data collection process is yet error prone and the proofs display uneven certitude. In the case of metabolic ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4befb15918106575540ab008c5b701d
http://arxiv.org/abs/1008.3166
http://arxiv.org/abs/1008.3166