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The book begins by covering tools for the manipulation of network data. Next, it addresses visualizationand characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.
The book begins by covering tools for the manipulation of network data. Next, it addresses visualizationand characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.
Eric D. Kolaczyk is a professor of statistics and a data science faculty fellow at Boston University, in the Department of Mathematics and Statistics, where he also is an affiliated faculty member in the Bioinformatics Program, the Division of Systems Engineering, and the Center for Systems Neuroscience. Currently, he serves as the director of Boston University's Hariri Institute for Computing. His publications on network-based topics, beyond the development of statistical methodology and theory, include work on applications ranging from the detection of anomalous traffic patterns in computer networks to the prediction of biological function in networks of interacting proteins to the characterization of influence of groups of actors in social networks. He is an elected fellow of the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), and the Institute of Mathematical Statistics, an elected member of the International Statistical Institute (ISI), and an elected senior member of the Institute of Electrical and Electronics Engineers (IEEE).
Gábor Csárdi is a software engineer at RStudio, where he works on R infrastructure packages. He holds a PhD in Computer Science from Eötvös University, Hungary, and he has done postdocs at the Swiss Institute of Bioinformatics, the University of Lausanne, and Harvard University.Presents a fully updated and easily accessible introduction to statistical methods of network analysis and their implementation in R
New edition includes a chapter covering networked experiments and an overhaul to the R code for igraph
Accessible for researchers in other quantitative fields or practitioners in applied areas that need to analyze network data
Includes supplementary material: [...]
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | Use R! |
| Inhalt: |
xiv
228 S. 19 s/w Illustr. 56 farbige Illustr. 228 p. 75 illus. 56 illus. in color. |
| ISBN-13: | 9783030441289 |
| ISBN-10: | 3030441288 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Csárdi, Gábor
Kolaczyk, Eric D. |
| Auflage: | 2nd ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Use R! |
| Maße: | 235 x 155 x 14 mm |
| Von/Mit: | Gábor Csárdi (u. a.) |
| Erscheinungsdatum: | 03.06.2020 |
| Gewicht: | 0,376 kg |
Eric D. Kolaczyk is a professor of statistics and a data science faculty fellow at Boston University, in the Department of Mathematics and Statistics, where he also is an affiliated faculty member in the Bioinformatics Program, the Division of Systems Engineering, and the Center for Systems Neuroscience. Currently, he serves as the director of Boston University's Hariri Institute for Computing. His publications on network-based topics, beyond the development of statistical methodology and theory, include work on applications ranging from the detection of anomalous traffic patterns in computer networks to the prediction of biological function in networks of interacting proteins to the characterization of influence of groups of actors in social networks. He is an elected fellow of the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), and the Institute of Mathematical Statistics, an elected member of the International Statistical Institute (ISI), and an elected senior member of the Institute of Electrical and Electronics Engineers (IEEE).
Gábor Csárdi is a software engineer at RStudio, where he works on R infrastructure packages. He holds a PhD in Computer Science from Eötvös University, Hungary, and he has done postdocs at the Swiss Institute of Bioinformatics, the University of Lausanne, and Harvard University.Presents a fully updated and easily accessible introduction to statistical methods of network analysis and their implementation in R
New edition includes a chapter covering networked experiments and an overhaul to the R code for igraph
Accessible for researchers in other quantitative fields or practitioners in applied areas that need to analyze network data
Includes supplementary material: [...]
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | Use R! |
| Inhalt: |
xiv
228 S. 19 s/w Illustr. 56 farbige Illustr. 228 p. 75 illus. 56 illus. in color. |
| ISBN-13: | 9783030441289 |
| ISBN-10: | 3030441288 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Csárdi, Gábor
Kolaczyk, Eric D. |
| Auflage: | 2nd ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Use R! |
| Maße: | 235 x 155 x 14 mm |
| Von/Mit: | Gábor Csárdi (u. a.) |
| Erscheinungsdatum: | 03.06.2020 |
| Gewicht: | 0,376 kg |
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