activity
20102026
most citedInfluence of Luddism on innovation diffusion

21 citations · 21 across the 3 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2026

Edge-based mean-field approximation of dynamics on networks via approximate lumping of Markov chains

Gábor Timár, Jonathan A. Ward, Péter L. Simon

Mean-field approximations for dynamical processes on networks are widely used, but existing derivations often rely either on moment closures or on idealised assumptions about netwo…

math.PR2025

Mean-Field Approximation of Dynamics on Networks

Jonathan A. Ward, Gábor Timár, Péter L. Simon

Many real-world phenomena can be modelled as dynamical processes on networks, a prominent example being the spread of infectious diseases such as COVID-19. Mean-field approximation…

physics.soc-ph2015★ 21 cited

Influence of Luddism on innovation diffusion

Andrew Mellor, Mauro Mobilia, Sidney Redner +2

We generalize the classical Bass model of innovation diffusion to include a new class of agents --- Luddites --- that oppose the spread of innovation. Our model also incorporates i…

physics.soc-ph2013

Competition-induced criticality in a model of meme popularity

James P. Gleeson, Jonathan A. Ward, Kevin P. O'Sullivan +1

Heavy-tailed distributions of meme popularity occur naturally in a model of meme diffusion on social networks. Competition between multiple memes for the limited resource of user a…

physics.soc-ph2013

Aperiodic dynamics in a deterministic model of attitude formation in social groups

Jonathan Ward, Peter Grindrod

Homophily and social influence are the fundamental mechanisms that drive the evolution of attitudes, beliefs and behaviour within social groups. Homophily relates the similarity be…

cs.SI2011

Multi-Stage Complex Contagions

Sergey Melnik, Jonathan A. Ward, James P. Gleeson +1

The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investiga…