Influential nodes and anomalous topic activities in social networks using multivariate time series and topic modeling

DOI10.1080/03610926.2020.1821891OpenAlexW3088953710MaRDI QIDQ5081062

Suchismita Goswami

Publication date: 1 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1821891

zbMATH Keywords

anomalyscan statisticsmultivariate time seriestopic modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• vars
• ElemStatLearn
• ISLR
• imputeTS
• StFinMetrics

Cites Work

• A latent process model for time series of attributed random graphs
• Scan statistics on Enron graphs
• Estimating the dimension of a model
• Evolution of the social network of scientific collaborations
• Statistical inference on attributed random graphs: fusion of graph features and content: an experiment on time series of Enron graphs
• Statistical inference on attributed random graphs: fusion of graph features and content
• Modeling Financial Time Series with S-PLUS®
• TIME SERIES ANALYSIS OF BOUNDED ECONOMIC VARIABLES
• 10.1162/jmlr.2003.3.4-5.993
• Unit Root Tests in ARMA Models with Data-Dependent Methods for the Selection of the Truncation Lag
• An Introduction to Statistical Learning
• Detection of excessive activities in time series of graphs
• Handbook of Spatial Epidemiology
• A GENERALIZED PORTMANTEAU GOODNESS-OF-FIT TEST FOR TIME SERIES MODELS
• Networks
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Influential nodes and anomalous topic activities in social networks using multivariate time series and topic modeling