Mining the hidden link structure from distribution flows for a spatial social network

DOI10.1155/2019/6902027zbMath1422.91626OpenAlexW2943438257WikidataQ127945944 ScholiaQ127945944MaRDI QIDQ2424644

Xiaoqi Zhang, Xinyue Ye, Yanqiao Zheng, Qiwen Dai, Xiao Bing Zhao

Publication date: 25 June 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/6902027

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30)

Uses Software

• TensorFlow
• TrajGraph

Cites Work

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• Sparse network identifiability via compressed sensing
• Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
• Rumor spreading in social networks
• Estimation of dynamic models with nonparametric simulated maximum likelihood
• Mathematical epidemiology.
• Minimal agent based model for financial markets. I
• Estimating the dimension of a model
• Measure-valued processes and interacting particle systems. Application to nonlinear filtering problems
• Dynamical interplay between the dissemination of scientific knowledge and rumor spreading in emergency
• Estimation of ergodic agent-based models by simulated minimum distance
• Estimation of financial agent-based models with simulated maximum likelihood
• Information spreading in complex networks with participation of independent spreaders
• Dynamic analysis of a stochastic rumor propagation model
• Mean Field Simulation for Monte Carlo Integration
• Mixture models and exploratory analysis in networks
• A semiparametric extension of the stochastic block model for longitudinal networks
• The Derivative of a Determinant
• Review of statistical network analysis: models, algorithms, and software