000			01599cam a2200193 i 4500
020			_a9781506389318
082	0	0	_a302.3 _bKNO.S
100	1		_aKnoke, David,
245	1	0	_aSocial network analysis / _cDavid Knoke, University of Minnesota, Song Yang, University of Arkansas.
250			_aThird edition.
260			_aLondon _bSage _c2020
300			_axiii, 181 pages : _billustrations ;
490	0		_aQuantitative applications in the social sciences ;
504			_aIncludes bibliographical references and index.
520			_a"David Knoke and Song Yang's Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data"--
650		0	_aSocial networks.
700	1		_aYang, Song,
942			_cBK
999			_c519397 _d519397