Statistical analysis of network data with R / Eric D. Kolaczyk and Gabor Csardi.
Material type:
TextSeries: Use R!Publication details: New York : Springer, 2014.Description: xiii, 207 p. : illustrations (some color) ; 24 cmISBN: - 9781493909827 (pbk. : alk. paper)
- 000SB:003 23 K81
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:003 K81 (Browse shelf(Opens below)) | Available | 136200 |
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| 000SB:001.535 C515 Selecting models from data | 000SB:003.83 T967 Modeling discrete time-to-event data / | 000SB:003 K81 Statistical analysis of network data methods and models | 000SB:003 K81 Statistical analysis of network data with R / | 000SB:004.24 P459 Queueing networks with blocking | 000SB:004.24 P459 Queueing networks with blocking | 000SB:004 J67 Probability and statistics for computer science |
Includes bibliographical references (197-204) and index
1. Introduction --
2. Manipulating network data --
3. Visualizing network data --
4. Descriptive analysis of network graph characteristics --
5. Mathematical models for network graphs --
6. Statistical models for network graphs --
7. Network topology inference --
8. Modeling and prediction for processes on network graphs -- 9. Analysis of network flow data --
10. Dynamic networks--
References--
Index.
This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R.
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