000			02133nam a22003257a 4500
001			sulb-eb0015418
003			BD-SySUS
005			20160405134434.0
008			110815s2012||||enk o ||1 0|eng|d
020			_a9781139136877 (ebook)
020			_z9781107022591 (hardback)
020			_z9781107606685 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHM711 _b.E94 2012
082	0	0	_a302.30285 _223
100	1		_aEverton, Sean F., _eauthor.
245	1	0	_aDisrupting Dark Networks / _cSean F. Everton.
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (490 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aStructural Analysis in the Social Sciences ; _v34
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aDisrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.
776	0	8	_iPrint version: _z9781107022591
830		0	_aStructural Analysis in the Social Sciences ; _v34.
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139136877
942			_2Dewey Decimal Classification _ceBooks
999			_c37262 _d37262