000			04655cam a2200541Mi 4500
001			ocn893676514
003			OCoLC
005			20190328114809.0
006			m o d
007			cr cn|||||||||
008			141009t20152015enka ob 000 0 eng d
040			_aE7B _beng _erda _epn _cE7B _dOCLCO _dUIU _dUMI _dDEBBG _dDEBSZ _dEBLCP _dOCLCO _dOCLCF _dOCLCO _dOCLCQ _dOCLCO _dOCLCQ _dMERUC _dOCLCQ _dOCLCA _dU3W _dD6H _dCEF _dOCLCQ
019			_a892240110 _a895913687
020			_a9780128011560 _q(e-book)
020			_a0128011564 _q(e-book)
020			_a0128008911
020			_a9780128008911
020			_z9780128008911
035			_a(OCoLC)893676514 _z(OCoLC)892240110 _z(OCoLC)895913687
050		4	_aTK5105.59 _b.H496 2015eb
082	0	4	_a005.8 _223
100	1		_aHexmoor, Henry, _eauthor.
245	1	0	_aComputational network science : an algorithmic approach / _h[electronic resource] _cHenry Hexmoor.
264		1	_aWaltham, Massachusetts : _bMorgan Kaufmann, _c2015.
264		4	_c�2015
300			_a1 online resource (129 pages) : _billustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aComputer Science Reviews and Trends
504			_aIncludes bibliographical references at the end of each chapters.
588	0		_aOnline resource; title from PDF title page (ebrary, viewed October 9, 2014).
505	0		_aCover; Title Page; Copyright Page; Table of contents; Preface; References; Chapter 1 -- Ubiquity of Networks; 1.1 -- Introduction; 1.2 -- Online social networking services; 1.3 -- Online bibliographic services; 1.4 -- Generic network models; 1.4.1 -- Random Networks; 1.4.2 -- Scale-Free Networks; 1.4.3 -- Trade-Off Model; 1.4.4 -- Game Theoretic Models; 1.5 -- Network model generators; 1.5.1 -- Kleinberg's Small-World Model; 1.5.2 -- Barab�asi and Albert's Scale-Free Network Generator; 1.5.3 -- Epstein and Wang's Power-Law Network Generator; 1.6 -- A real-world network; 1.7 -- Conclusions.
505	8		_a5.3 -- Markov chains5.4 -- Strategic network partnering using Markov decision processes; 5.5 -- Conclusion; References; Chapter 6 -- Diffusion and Contagion; 6.1 -- Population preference spread; 6.2 -- Percolation model; 6.3 -- Disease epidemic models; 6.4 -- Community detection; 6.4.1 -- Spectral Clustering; 6.4.2 -- Hierarchical Clustering; 6.4.3 -- Cascade Model; 6.4.4 -- Independent Contagion Model; 6.4.5 -- Node-Centric Community Detection; 6.5 -- Community correlation versus influence; 6.6 -- Conclusion; References; Chapter 7 -- Influence Diffusion and Contagion; 7.1 -- Stochastic model.
505	8		_a7.2 -- Social learning7.3 -- Social media influence; 7.3.1 -- Social Media: A Case for Facebook and Twitter; 7.3.2 -- Klout Score; 7.4 -- Conclusion; References; Chapter 8 -- Power in Exchange Networks; 8.1 Conclusion; References; Chapter 9 -- Economic Networks; 9.1 -- Network effects; 9.2 -- Conclusion; References; Chapter 10 -- Network Capital; 10.1 -- Social capital used for physical capital access; 10.1.1 -- Intermediaries; 10.1.2 -- A Basic Protocol for Resource Access Using Social Capital; 10.2 -- Conclusion; References; Chapter 11 -- Network Organizations; 11.1 Conclusion ; References.
505	8		_aChapter 12 -- Emerging Trends12.1 -- Conclusion; References; Appendix.
520			_aThe emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal disciplin.
650		0	_aComputer networks _xSecurity measures.
650		0	_aComputer security.
650		0	_aInternet _xSecurity measures.
650		7	_aComputer networks _xSecurity measures. _2fast _0(OCoLC)fst00872341
650		7	_aComputer security. _2fast _0(OCoLC)fst00872484
650		7	_aInternet _xSecurity measures. _2fast _0(OCoLC)fst01751426
655		4	_aElectronic books.
776	0	8	_iPrint version: _aHexmoor, Henry. _tComputational network science : an algorithmic approach. _dWaltham, Massachusetts : Morgan Kaufmann, �2015 _hx, 118 pages _z9780128008911
830		0	_aComputer science reviews and trends.
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9780128008911
999			_c246974 _d246974