Statistical Analysis of Network Data with R

DOI10.1007/978-3-030-44129-6zbMath1435.62013OpenAlexW4285711131MaRDI QIDQ5110565

Gábor Csárdi, Eric D. Kolaczyk

Publication date: 20 May 2020

Published in: Use R! (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-44129-6

zbMATH Keywords

networksgraphskernel methodsdirected graphsdynamic networksundirected graphsdescriptive statisticsnetwork inferencegraph layouttraffic matrix estimationinferential statisticsexponential random graph modelstopology inferencenetwork cohesionnearest neighbour methodsnetwork topology inferenceassociation network inferencecharacterisation of networksdecorating network graphsedge characteristicgeneralised random graph modelslatent network modelsmodelling of network flowsnetwork block modelsnetworks analysesprediction of dynamic processesstandard manipulation of networkstomographic networkvertex characteristicvisualisation of networks

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Neural nets and related approaches to inference from stochastic processes (62M45) Statistical aspects of big data and data science (62R07)

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Uses Software

• R
• Bioconductor
• lattice
• ROCR
• ggplot2
• ape
• ergm
• igraph
• sna
• statnet
• Kernlab
• RSiena
• fdrtool
• Rgraphviz
• huge
• GOstats
• mixer
• ngspatial
• network
• vioplot
• tergm
• networkDynamic
• rgexf
• eigenmodel
• blockmodels
• networkTomography
• igraphdata
• sand
• ndtv

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