000			03123cam a2200517Ki 4500
001			9781003088066
003			FlBoTFG
005			20240213122831.0
006			m o d
007			cr cnu|||unuuu
008			211007s2022 flu fob 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003088066 _q(electronic bk.)
020			_a1003088066 _q(electronic bk.)
020			_z9780367541736
020			_a9781000540000 _q(electronic bk. : EPUB)
020			_a1000540006 _q(electronic bk. : EPUB)
020			_a9781000539998 _q(electronic bk. : PDF)
020			_a1000539997 _q(electronic bk. : PDF)
020			_z9780367541392
035			_a(OCoLC)1273728040
035			_a(OCoLC-P)1273728040
050		4	_aHM742
072		7	_aTEC _x029000 _2bisacsh
072		7	_aCOM _x043000 _2bisacsh
072		7	_aAKP _2bicssc
082	0	4	_a302.23/1 _223
100	1		_aAggrawal, Niyati, _eauthor.
245	1	0	_aSocial networks : _bmodeling and analysis / _cNiyati Aggrawal and Adarsh Anand.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, Taylor & Francis Group, _c2022.
300			_a1 online resource (248 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_a1.Introduction to Social Networks, 2.Network Statistics and Related Concepts, 3.Network Models, 4.Network Centrality, 5.Link Analysis, 6.Link Prediction, 7.Communtiy Detention, 8.Ego Networks, 9.Network Cohesion, 10.Information Diffusion, 11.Security and Privacy in Social Network, 12.Social network analysis Tools
520			_aThe goal of this book is to provide a reference for applications of mathematical modeling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modeling and Analysis provide the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms like Page Rank and HITS are also discussed. Written as a reference this book is for Engineering and Management Students, Research Scientists, Academicians involved in complex networks, mathematical sciences, and marketing research.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aSocial media.
650		0	_aSocial sciences _xNetwork analysis.
650		7	_aTECHNOLOGY / Operations Research _2bisacsh
650		7	_aCOMPUTERS / Networking / General _2bisacsh
700	1		_aAnand, Adarsh, _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003088066
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5766 _d5766