Rewiring the network. What helps an innovation to diffuse?

DOI10.1088/1742-5468/2014/03/P03007zbMath1457.90048arXiv1310.5356OpenAlexW3103443885MaRDI QIDQ3301893

Tomasz Weron, Janusz Szwabiński, Rafał Weron, Katarzyna Sznajd-Weron

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.5356

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Stochastic network models in operations research (90B15) Models of societies, social and urban evolution (91D10)

Related Items (5)

Mapping the \(q\)-voter model: from a single chain to complex networks ⋮ Geometric vulnerability of democratic institutions against lobbying: A sociophysics approach ⋮ Correlation between information diffusion and opinion evolution on social media ⋮ Multi-source information diffusion in online social networks ⋮ Modeling and predicting opinion formation with trust propagation in online social networks

Cites Work

• Network structure and the diffusion of knowledge
• Sociophysics: The Sznajd model and its applications
• How effective is advertising in duopoly markets?
• Anticonformity or independence? -- Insights from statistical physics
• Optimizing spread dynamics on graphs by message passing
• Collective dynamics of ‘small-world’ networks
• A Guide to Monte Carlo Simulations in Statistical Physics
• Networks

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