Results 41 to 50 of about 204,202 (277)

Efficient community detection in multilayer networks using boolean compositions

Frontiers in Big Data, 2023
Networks (or graphs) are used to model the dyadic relations between entities in complex systems. Analyzing the properties of the networks reveal important characteristics of the underlying system.
Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick   +4 more
doaj   +1 more source

The use of multilayer network analysis in animal behaviour [PDF]

, 2018
Network analysis has driven key developments in research on animal behaviour by providing quantitative methods to study the social structures of animal groups and populations.
Finn, Kelly R., Pinter-Wollman, Noa, Porter, Mason A., Silk, Matthew J.   +3 more
core   +3 more sources

Probabilistic Multilayer Networks

CoRR, 2018
9 pages, 2 Figures, 1 Table, 3 ...
Enrique Hernández-Lemus, Jesús Espinal-Enríquez, Guillermo de Anda-Jáuregui   +2 more
openaire   +2 more sources

MultiAspect Graphs: Algebraic Representation and Algorithms

Algorithms, 2016
We present the algebraic representation and basic algorithms for MultiAspect Graphs (MAGs). A MAG is a structure capable of representing multilayer and time-varying networks, as well as higher-order networks, while also having the property of being ...
Klaus Wehmuth, Éric Fleury, Artur Ziviani   +2 more
doaj   +1 more source

The physics of spreading processes in multilayer networks [PDF]

, 2016
The study of networks plays a crucial role in investigating the structure, dynamics, and function of a wide variety of complex systems in myriad disciplines.
A Cardillo, A Hackett, A Halu, A Lima, A Sole-Ribalta, A Solé-Ribalta, Alex Arenas, B Min, B Min, C Granell, C Granell, Clara Granell, D Brockmann, D Krioukov, D F Gleich, E Bullmore, E Cozzo, E Cozzo, F Battiston, F Radicchi, F Radicchi, F Sorrentino, F Tan, FR K Chung, G Bianconi, G Bianconi, G Menichetti, G J Baxter, I Abraham, I de Sola Pool, J Gao, J Gómez-Gardenes, J Gómez-Gardeñes, J Sanz, K-M Lee, L Bargigli, L Gauvin, L Sola, L Zhao, M Asllani, M Barthelemy, M Bazzi, M De Domenico, M De Domenico, M De Domenico, M De Domenico, M De Domenico, M De Domenico, M Dickison, M Kivelä, M Salehi, Manlio De Domenico, Mason A. Porter, ME J Newman, M A Porter, N Kouvaris, O Sporns, P Echenique, P J Mucha, R Gallotti, R Gallotti, R Guimerà, R Sevilla-Escoboza, R G Morris, S Boccaletti, S Boccaletti, S Funk, S Funk, S Gómez, S Wasserman, S-W Son, S D Reis, S V Buldyrev, T G Kolda, T P Peixoto, U Braun, V Nicosia, V Nicosia, X Zhang, Y Tang, Z Wang, Z Wang, Z Wu   +82 more
core   +3 more sources

Survivable paths in multilayer networks [PDF]

2012 46th Annual Conference on Information Sciences and Systems (CISS), 2012
We consider protection problems in multilayer networks. In single-layer networks, a pair of disjoint paths can be used to provide protection for a source-destination pair. However, this approach cannot be directly applied to layered networks where disjoint paths may not always exist. In this paper, we take a new approach which is based on finding a set
Parandehgheibi, Marzieh, Lee, Hyang-Won, Modiano, Eytan H.   +2 more
openaire   +4 more sources

Learning and coordinating in a multilayer network [PDF]

, 2014
We introduce a two layer network model for social coordination incorporating two relevant ingredients: a) different networks of interaction to learn and to obtain a payoff , and b) decision making processes based both on social and strategic motivations.
Lugo, Haydee, Miguel, Maxi San
core   +5 more sources

The multilayer nature of ecological networks [PDF]

Nature Ecology & Evolution, 2017
A revised ...
Pilosof, Shai, Porter, Mason, Pascual, Mercedes, Kéfi, Sonia   +3 more
openaire   +5 more sources

The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks

Future Internet, 2022
Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual nodes develop relationships in multiple layers.
Annamaria Ficara, Giacomo Fiumara, Salvatore Catanese, Pasquale De Meo, Xiaoyang Liu   +4 more
doaj   +1 more source

Multilayer Optical Learning Networks [PDF]

Topical Meeting on Optical Computing, 1987
In this paper we present a new approach to multilayer neural network learning which is based on holographically interconnected nonlinear Fabry-Perot etalons. The network can learn the interconnections that form a distributed representation of a desired pattern transformation operation.
Wagner, Kelvin, Psaltis, Demetri
openaire   +4 more sources