output
20022026
most citedMultilayer Networks

3.2k citations

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95 papers · 1 filter

physics.soc-ph2026

Generating consensus and dissent on massive discussion platforms with a semantic-vector model

A. Ferrer, D. Muñoz-Jordán, A. Rivero +3

Reaching consensus on massive discussion networks is critical for reducing noise and achieving optimal collective outcomes. However, the natural tendency of humans to preserve thei…

physics.soc-ph2020★ 16 cited

The role of time scale in the spreading of asymmetrically interacting diseases

Paulo Cesar Ventura, Yamir Moreno, Francisco A. Rodrigues

Diseases and other contagion phenomena in nature and society can interact asymmetrically, such that one can benefit from the other, which in turn impairs the first, in analogy with…

physics.soc-ph2020★ 9 cited

Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks

Guilherme Ferraz de Arruda, J. A. Méndez-Bermúdez, Francisco A. Rodrigues +1

Universal spectral properties of multiplex networks allow us to assess the nature of the transition between disease-free and endemic phases in the SIS epidemic spreading model. In…

physics.soc-ph2020★ 31 cited

Prediction of scientific collaborations through multiplex interaction networks

Marta Tuninetti, Alberto Aleta, Daniela Paolotti +2

Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science. However, available algorithms based on simil…

physics.soc-ph2020★ 39 cited

Data-driven contact structures: from homogeneous mixing to multilayer networks

Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

The modeling of the spreading of communicable diseases has experienced significant advances in the last two decades or so. This has been possible due to the proliferation of data a…

physics.soc-ph2020★ 578 cited

Evolutionary dynamics of higher-order interactions in social networks

Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda +3

We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are…

physics.soc-ph2020★ 10 cited

Quantifying Uncertainty in a Predictive Model for Popularity Dynamics

Joseph D. O'Brien, Alberto Aleta, Yamir Moreno +1

The Hawkes process has garnered attention in recent years for its suitability to describe the behavior of online information cascades. Here, we present a fully tractable approach t…

physics.soc-ph2019★ 31 cited

Critical mass effect in evolutionary games triggered by zealots

Alessio Cardillo, Naoki Masuda

Tiny perturbations may trigger large responses in systems near criticality, shifting them across equilibria. Committed minorities are suggested to be responsible for the emergence…

physics.soc-ph2019★ 26 cited

Pulsating-campaigns of human prophylaxis driven by risk perception palliate oscillations of direct contact transmitted diseases

Benjamin Steinegger, Alex Arenas, Jesús Gómez-Gardeñes +1

Human behavioral responses play an important role in the impact of disease outbreaks and yet they are often overlooked in epidemiological models. Understanding to what extent behav…

physics.soc-ph2019★ 37 cited

Impact of temporal scales and recurrent mobility patterns on the unfolding of epidemics

David Soriano-Paños, Gourab Ghoshal, Alex Arenas +1

Human mobility plays a key role on the transformation of local disease outbreaks into global pandemics. Thus, the inclusion of human movements into epidemic models has become manda…

physics.soc-ph2019★ 243 cited

Social contagion models on hypergraphs

Guilherme Ferraz de Arruda, Giovanni Petri, Yamir Moreno

Our understanding of the dynamics of complex networked systems has increased significantly in the last two decades. However, most of our knowledge is built upon assuming pairwise r…

physics.soc-ph2019★ 4 cited

Replicator population dynamics of group (-agent) interactions. Broken symmetry, thresholds for metastability and macroscopic behavior

Emmanuel Artiges, Carlos Gracia-Lazaro, Luis Mario Floria +1

We analyze from basic physical considerations the Darwinian competition for reproduction (evolutionary dynamics) of strategists in a Public Goods Game, the archetype for -agent…

physics.soc-ph2019★ 193 cited

Explosive Phenomena in Complex Networks

Raissa M. D'Souza, Jesus Gómez-Gardeñes, Jan Nagler +1

The emergence of large-scale connectivity and synchronization are crucial to the structure, function and failure of many complex socio-technical networks. Thus, there is great inte…

physics.soc-ph2019★ 29 cited

Markovian approach to tackle the interaction of simultaneous diseases

David Soriano-Paños, Fakhteh Ghanbarnejad, Sandro Meloni +1

The simultaneous emergence of several abrupt disease outbreaks or the extinction of some serotypes of multi-strain diseases are fingerprints of the interaction between pathogens sp…

physics.soc-ph2019★ 6 cited

Time evolution of the behaviour of Brazilian legislative Representatives using a complex network approach

Ludwing Marenco, Humberto A. Carmona, Felipe M. Cardoso +2

The follow up of Representative behavior after elections is imperative for a democratic Representative system, at the very least to punish betrayal with no re-election. Our goal wa…

physics.soc-ph2019★ 5 cited

Epistasis between cultural traits drives paradigm shifts in cultural evolution

Ignacio Pascual, Jacobo Aguirre, Susanna Manrubia +1

Every now and then the cultural paradigm of a society changes. Human history can be regarded as a sequence of long periods of cultural stasis punctuated by paradigm shifts that tra…

physics.soc-ph2019

Analysis of a networked social algorithm for collective selection of a committee of representatives

Alexis R. Hernandez, Carlos Gracia-Lazaro, Edgardo Brigatti +1

A recent work by Hernández et al. introduced a networked voting rule supported by a trust-based social network, where indications of possible representatives were based on individu…

physics.soc-ph2019★ 24 cited

Centrality anomalies in complex networks as a result of model over-simplification

Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues +2

Tremendous advances have been made in our understanding of the properties and evolution of complex networks. These advances were initially driven by information-poor empirical netw…

physics.soc-ph2019★ 6 cited

Layer degradation triggers an abrupt structural transition in multiplex networks

Emanuele Cozzo, Guilherme Ferraz de Arruda, Francisco A. Rodrigues +1

Network robustness is a central point in network science, both from a theoretical and a practical point of view. In this paper, we show that layer degradation, understood as the co…

physics.soc-ph2018★ 38 cited

Impact of the distribution of recovery rates on disease spreading in complex networks

Guilherme Ferraz de Arruda, Giovanni Petri, Francisco A. Rodrigues +1

We study a general epidemic model with arbitrary recovery rate distributions. This simple deviation from the standard setup is sufficient to prove that heterogeneity in the dynamic…

physics.soc-ph2018★ 79 cited

Epidemic spreading with awareness and different timescales in multiplex networks

Paulo Cesar Ventura da Silva, Fatima Velasquez-Rojas, Colm Connaughton +3

One of the major issues in the theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a f…

physics.soc-ph2018★ 40 cited

Unfolding the complexity of the global value chain: Strengths and entropy in the single-layer, multiplex, and multi-layer international trade networks

Luiz G. A. Alves, Giuseppe Mangioni, Francisco A. Rodrigues +2

The worldwide trade network has been widely studied through different data sets and network representations with a view to better understanding interactions among countries and pro…

physics.soc-ph2018★ 3 cited

Structural transition in interdependent networks with regular interconnections

Xiangrong Wang, Robert E. Kooij, Yamir Moreno +1

Networks are often made up of several layers that exhibit diverse degrees of interdependencies. A multilayer interdependent network consists of a set of graphs that are interco…

physics.soc-ph2018★ 8 cited

Comparing spatial networks: A 'one size fits all' efficiency-driven approach

Ignacio Morer, Alessio Cardillo, Albert Diaz-Guilera +2

Spatial networks are a powerful framework for studying a large variety of systems belonging to a broad diversity of contexts: from transportation to biology, from epidemiology to c…