000 02622cam a2200313 i 4500
005 20260112063322.0
010 _a2014-936989
020 _a9781493909827 (pbk. : alk. paper)
039 _a202110061021
_bstaff
_c201508172059
_d staff
_c201505221620
_d staff
_c201505191553
_d staff
_y 201505191548
_z staff
082 _a003
_bKOL [ Shelf 73 ]
100 _aKolaczyk, Eric D.
245 _aStatistical analysis of network data with R /
_cEric D. Kolaczyk, Gabor Csardi
264 _aNew York :
_bSpringer,
_c[2014]
300 _axiii, 207 pages :
_billustrations (some color) ;
_c24 cm.
490 _aUse R!
504 _aIncludes bibliographical references (197-204) and index
505 _a1. 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.
520 _aNetworks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. 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. This text builds on Eric D. Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009).--
_cSource other than Library of Congress.
650 _aSystem analysis
_x Statistical methods.
650 _aR (Computer program language)
650 2 _aData Interpretation, Statistical.
650 _aR (Computer program language)
_2 fast
_0 (OCoLC)fst01086207
650 _aSystem analysis
_x Statistical methods.
_2 fast
_0 (OCoLC)fst01141397
700 _aCsardi, Gabor.
830 _aUse R!
991 _aVIRTUA40
991 _aVTLSSORT0080*0100*0200*0820*1000*2450*2640*3000*4900*5040*5050*5200*6500*6501*6502*6503*6504*7000*8300*9992
909 _a5318
999 _c4779
_d4779