An interactive graphical method for community detection in network data

DOI10.1007/s00180-016-0663-5zbMath1417.62184OpenAlexW2395651776MaRDI QIDQ2358932

Andee Kaplan, Daniel J. Nordman, Heike Hofmann

Publication date: 27 June 2017

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-016-0663-5

zbMATH Keywords

interactive graphicsgraph layoutweb applicationhuman perception

Mathematics Subject Classification ID

Multivariate analysis (62H99) Social networks; opinion dynamics (91D30) Applications of graph theory (05C90)

Uses Software

• R
• NodeXL
• JavaScript
• igraph
• Gephi
• shiny
• rjson
• d3Network
• Jsnetworkx
• LabelRankT
• D3.js

Cites Work

• Unnamed Item
• Pseudo-likelihood methods for community detection in large sparse networks
• Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
• An Exponential Family of Probability Distributions for Directed Graphs
• The Structure and Function of Complex Networks
• Estimation and Prediction for Stochastic Blockstructures
• Community structure in social and biological networks
• An open graph visualization system and its applications to software engineering

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