Individual-level social influence identification in social media: a learning-simulation coordinated method
type: Item
instance of: scholarly article
title: Individual-level social influence identification in social media: a learning-simulation coordinated method
zbMATH Open document ID: 1403.91283
author: Zhen-Yu Chen
author: Zhiping Fan
author: Minghe Sun
published in: European Journal of Operational Research
publication date: 2018-12-06T00:00:00Z
Mathematics Subject Classification ID: 91D30
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6989925
zbMATH Keywords: data mining
zbMATH Keywords: social influence
zbMATH Keywords: causal inference
zbMATH Keywords: social media
zbMATH Keywords: machine learning
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: j.ejor.2018.09.025
OpenAlex ID: W2893697761
Wikidata QID: Q57570694
cites work: Q3655274
cites work: Causal modeling alternatives in operations research: overview and application.
cites work: Estimating average causal effects under general interference, with application to a social network experiment
cites work: 50 years of data mining and OR: upcoming trends and challenges
cites work: A nested heuristic for parameter tuning in support vector machines
cites work: Behavior-aware user response modeling in social media: learning from diverse heterogeneous data
cites work: Consistency of support vector machines using additive kernels for additive models
cites work: Sure Independence Screening for Ultrahigh Dimensional Feature Space
cites work: Q3510469
cites work: Network-based marketing: identifying likely adopters via consumer networks
cites work: Statistics and Causal Inference
cites work: Tensor Decompositions and Applications
cites work: A reference model for customer-centric data mining with support vector machines
cites work: Preferences, homophily, and social learning
cites work: Causal diagrams for interference
cites work: Q3651576
cites work: Leveraging social media networks for classification
cites work: Q4261789
cites work: Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
DBLP publication ID: journals/eor/ChenFS19
DOI: 10.1016/J.EJOR.2018.09.025
Recommended article: Learning influence from heterogeneous social networks
Recommended article: Interaction-Aware Influence Maximization in Social Networks
Recommended article: Inferring Social Influence in Dynamic Networks
Recommended article: Identification of influencers in networks with dynamic behaviors
Recommended article: Learning Influence Structure in Sparse Social Networks
Recommended article: An actional model of user influence levels in a social network
description: scientific article; zbMATH DE number 6989925