A particle-learning-based approach to estimate the influence matrix of online social networks

DOI10.1016/J.CSDA.2018.01.008zbMath1469.62030OpenAlexW2789093772MaRDI QIDQ1663084

Luis E. Castro, Nazrul I. Shaikh

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.01.008

zbMATH Keywords

learningsocial networksparticle filteropinion dynamicsinfluence estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from stochastic processes and prediction (62M20) Social networks; opinion dynamics (91D30)

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Cites Work

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• Reaching a Consensus
• Opinion Fluctuations and Disagreement in Social Networks
• Consensus Problems in Networks of Agents With Switching Topology and Time-Delays

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