000			02920cam a2200433 i 4500
001			18087732
005			20240123132707.0
008			140331t20142014nyua b 001 0 eng d
010			_a 2014936989
020			_a9783030441289 (pbk. : alk. paper)
035			_a(OCoLC)ocn875239498
040			_aYDXCP _beng _cIIMV _erda _dBTCTA _dOCLCO _dMUU _dRCE _dOCLCF _dDLC
042			_alccopycat
050	0	0	_aQA402 _b.K6483 2014
082	0	4	_a003.015195 _223
100	1		_aKolaczyk, Eric D. _933051
245	1	0	_aStatistical analysis of network data with R / _cEric D. Kolaczyk, Gábor Csárdi.
264		1	_aNew York : _bSpringer, _c[2014]
264		4	_c©2014
300			_axiii, 228 pages : _billustrations (some color) ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aUse R!
504			_aIncludes bibliographical references (225-228) and index
505	0		_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	3		_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		0	_aSystem analysis _xStatistical methods. _933052
650		0	_aR (Computer program language)
650	1	2	_aData Interpretation, Statistical. _914554
650		7	_aR (Computer program language) _2fast _0(OCoLC)fst01086207
650		7	_aSystem analysis _xStatistical methods. _2fast _0(OCoLC)fst01141397 _933053
700	1		_aCsárdi, Gábor. _933054
830		0	_aUse R! _932174
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c6101 _d6101