000			02955nam a2200421 i 4500
005			20250919005419.0
008			150818t20142014nyua b 001 0 eng d
020			_a9781493909827 _q(paperback) _cRM235.45
020			_a1493909827 _q(paperback)
039		9	_a201602121525 _basrul _c201602031103 _dbaiti _c201601280943 _dhamudah _y08-18-2015 _zhamudah
040			_aYDXCP _beng _cYDXCP _erda _dBTCTA _dOCLCO _dMUU _dRCE _dOCLCF _dDLC
090			_aQA402.K655
090			_aQA402 _b.K655
100	1		_aKolaczyk, Eric D. _eauthor
245	1	0	_aStatistical analysis of network data with R / _cEric D. Kolaczyk, G{u2862}or Csdi.
264		1	_aNew York : _bSpringer, _c[2014]
264		4	_c©2014.
300			_axiii, 207 pages : _billustrations (some color) ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aUse R!
504			_aIncludes bibliographical references (197-204) 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.
650		0	_aR (Computer program language)
700	1		_aCsardi, Gabor. _eauthor
830		0	_aUse R!
907			_a.b16194627 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA402.K655
914			_avtls003591888
990			_abety
991			_aFakulti Sains dan Teknologi
998			_at _b2015-05-08 _cm _da _feng _gnyu _y0 _z.b16194627
999			_c597209 _d597209