activity
20082026
most citedAdaptive networks: coevolution of disease and topology

215 citations · 811 across the 24 of their papers we have counts for

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Showing physics.soc-phShow all

7 papers · 1 filter

physics.soc-ph2017★ 22 cited

Self-Organization of Dragon Kings

Yuansheng Lin, Keith Burghardt, Martin Rohden +2

The mechanisms underlying cascading failures are often modeled via the paradigm of self-organized criticality. Here we introduce a simple model where nodes self-organize to be eith…

physics.soc-ph2016

Strategic tradeoffs in competitor dynamics on adaptive networks

Laurent Hébert-Dufresne, Antoine Allard, Pierre-André Noël +2

Recent empirical work highlights the heterogeneity of social competitions such as political campaigns: proponents of some ideologies seek debate and conversation, others create ech…

physics.soc-ph2015

Quantifying dynamical spillover in co-evolving multiplex networks

Vikram S. Vijayaraghavan, Pierre-André Noël, Zeev Maoz +1

Multiplex networks (a system of multiple networks that have different types of links but share a common set of nodes) arise naturally in a wide spectrum of fields. Theoretical stud…

physics.soc-ph2011★ 8 cited

Epidemics on contact networks: a general stochastic approach

Pierre-André Noël, Antoine Allard, Laurent Hébert-Dufresne +2

Dynamics on networks is considered from the perspective of Markov stochastic processes. We partially describe the state of the system through network motifs and infer any missing d…

physics.soc-ph2011★ 13 cited

Structural preferential attachment: Stochastic process for the growth of scale-free, modular and self-similar systems

Laurent Hébert-Dufresne, Antoine Allard, Vincent Marceau +2

Many complex systems have been shown to share universal properties of organization, such as scale independence, modularity and self-similarity. We borrow tools from statistical phy…

physics.soc-ph2011★ 38 cited

Structural preferential attachment: Network organization beyond the link

Laurent Hébert-Dufresne, Antoine Allard, Vincent Marceau +2

We introduce a mechanism which models the emergence of the universal properties of complex networks, such as scale independence, modularity and self-similarity, and unifies them un…

physics.soc-ph2011★ 151 cited

Modeling the dynamical interaction between epidemics on overlay networks

Vincent Marceau, Pierre-André Noël, Laurent Hébert-Dufresne +2

Epidemics seldom occur as isolated phenomena. Typically, two or more viral agents spread within the same host population and may interact dynamically with each other. We present a…