Robust network structure reconstruction based on Bayesian compressive sensing

DOI10.1063/1.5109375zbMath1425.90023OpenAlexW2974247257WikidataQ90420503 ScholiaQ90420503MaRDI QIDQ5242054

Chen Liu, Wenfeng Deng, Keke Huang, Yang Jiao, Zhen Wang

Publication date: 5 November 2019

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5109375

Mathematics Subject Classification ID

Applications of game theory (91A80) Stochastic network models in operations research (90B15) Evolutionary games (91A22)

Related Items (1)

Network reconstruction of social networks based on the public information

Uses Software

• CVX

Cites Work

• A variational Bayesian method to inverse problems with impulsive noise
• Behavioral evolution in evacuation crowd based on heterogeneous rationality of small groups
• Review on statistical methods for gene network reconstruction using expression data
• Saving human lives: what complexity science and information systems can contribute
• Statistical physics of human cooperation
• Heterogeneous cooperative belief for social dilemma in multi-agent system
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Bayesian Compressive Sensing
• Outliers Detection in Multivariate Time Series by Independent Component Analysis

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