Cascade Dynamics of Complex Propagation
@article{Centola2007CascadeDO, title={Cascade Dynamics of Complex Propagation}, author={Damon Centola and Michael W. Macy and Victor M. Eguiluz Columbia University and Cornell University and Imedea and Spain}, journal={Physica A-statistical Mechanics and Its Applications}, year={2007}, volume={374}, pages={449-456} }
297 Citations
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It is shown that scale-free networks are much less robust than exponential networks for the spread of complex contagions, which highlights the value of more homogenously distributed social networks forThe robust transmission of collective behavior.
Cascade dynamics on clustered network
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A recursive method is extended to estimate the order parameter analytically and finds that the result gives an excellent approximation to the observed transition point and indicates that global cascades occur more easily on clustered networks than on non-clustered ones.
Kinetics of Social Contagion
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Analysis of analytically and by simulations a general model that incorporates threshold mechanism capturing sensitivity to peer pressure, the effect of "immune" nodes who never adopt, and a perpetual flow of external information finds that there is a transition from fast to slow spreading governed by entirely different mechanisms.
MODELING INFORMATION SPREADING ON COMPLEX NETWORKS
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A model for the spread of two types of information in networks, a natural generalization of the epidemic susceptible-infective-susceptible (SIS) model, that shows simultaneous existence of the two information types in the stable state.
Complex contagions on noisy geometric networks
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- 2014
This work addresses the question of when contagions spread predominantly via the spatial propagation of wavefronts rather than via the appearance of spatially-distant clusters of contagion (as observed for modern epidemics) and finds a deep connection between the fields of dynamical systems and nonlinear dimension reduction.
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
- Computer ScienceECML/PKDD
- 2010
The problem of inhibiting diffusion of complex contagions such as rumors, undesirable fads and mob behavior in social networks by removing a small number of nodes (called critical nodes) from the network is studied and efficient heuristics for these problems are developed.
Spreading Processes in Multilayer Networks
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This paper reviews the main models, results and applications of multilayer spreading processes, and discusses some promising research directions in this young research area.
Trend-driven information cascades on random networks
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The model shows that global nodes play a role as accelerating cascades once a trend emerges while reducing the probability of a trend emerging, suggesting that a moderate share of trend followers may maximize the average size of cascades.
Cascades of Rumors and Information in Highly Connected Networks with Thresholds
- Computer Science
- 2009
A theory that assumes a finite network with arbitrary average nodal degree and applies it to the case where cascades follow a threshold rule, that is, that a node will change state (“flip”) only if a fraction of its neighbors has changed state previously.
Explosive Contagion in Networks
- BusinessScientific reports
- 2016
It is shown that local synergistic effects associated with acquaintances of pairs of individuals can have striking consequences on the spread of social phenomena at large scales and explain why ideas, rumours or products can suddenly and sometimes unexpectedly catch on.
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