output
20022026
most citedMultilayer Networks

3.2k citations

Showing 2015 · physics.soc-phShow all

6 papers · 2 filters

physics.soc-ph2015★ 104 cited

Disease Localization in Multilayer Networks

Guilherme Ferraz de Arruda, Emanuele Cozzo, Tiago P. Peixoto +2

We present a continuous formulation of epidemic spreading on multilayer networks using a tensorial representation, extending the models of monoplex networks to this context. We der…

physics.soc-ph2015★ 21 cited

Layer-layer competition in multiplex complex networks

Jesús Gómez-Gardeñes, Manlio De Domenico, Gerardo Gutiérrez +2

The coexistence of multiple types of interactions within social, technological and biological networks has moved the focus of the physics of complex systems towards a multiplex des…

physics.soc-ph2015★ 115 cited

The dynamic of information-driven coordination phenomena: a transfer entropy analysis

Javier Borge-Holthoefer, Nicola Perra, Bruno Gonçalves +4

Data from social media are providing unprecedented opportunities to investigate the processes that rule the dynamics of collective social phenomena. Here, we consider an informatio…

physics.soc-ph2015★ 38 cited

Epidemic Spreading in Random Rectangular Networks

Ernesto Estrada, Sandro Meloni, Matthew Sheerin +1

The use of network theory to model disease propagation on populations introduces important elements of reality to the classical epidemiological models. The use of random geometric…

physics.soc-ph2015

Emergence of consensus as a modular-to-nested transition in communication dynamics

Javier Borge-Holthoefer, Raquel A. Baños, Carlos Gracia-Lázaro +1

Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through m…

physics.soc-ph2015★ 91 cited

The effects of network structure, competition and memory time on social spreading phenomena

James P. Gleeson, Kevin P. O'Sullivan, Raquel A. Baños +1

Online social media have greatly affected the way in which we communicate with each other. However, little is known about what are the fundamental mechanisms driving dynamical info…