Innovation governs everything eventually: extensions of the DeGroot model

DOI10.1007/S10255-016-0621-6zbMath1409.91205OpenAlexW2612593977MaRDI QIDQ523741

Xing-long Qu, Ming-min Yang, Xiao-guang Yang, Zhigang Cao

Publication date: 21 April 2017

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-016-0621-6

zbMATH Keywords

social networkopinion dynamicsDeGroot modelnon-Bayesian learning

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Memory and learning in psychology (91E40)

Related Items (1)

Stochastic recursions on directed random graphs

Cites Work

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• Opinion dynamics and learning in social networks
• Emergence of Scaling in Random Networks
• Noisy continuous-opinion dynamics
• A Necessary and Sufficient Condition for Reaching a Consensus Using DeGroot's Method
• Persuasion Bias, Social Influence, and Unidimensional Opinions
• Reaching a Consensus
• Word-of-Mouth Communication and Social Learning

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