000			02096nam a2200289 a 4500
001			vtls000060426
003			KUKTEM
005			20251125093240.0
008			120528t2011 enka f b 001 0 eng d
020			_a9780521197274 (hardback)
039		9	_a201211161132 _bfauzi _y201205281202 _zsafura
040			_aUMP
090			_aHM742 .Z43 2011
100	1		_aZhao, H. Vicky
245	1	0	_aBehavior dynamics in media-sharing social networks / _cH. Vicky Zhao, W. Sabrina Lin, K. J. Ray Liu
260			_aCambridge ; _aNew York : _bCambridge University Press, _c2011
300			_axii, 337 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references (p. [326]-334) and index
520			_a"In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services"-- Provided by publisher
650		0	_aSocial networks
650		0	_aConsumer behavior
650		0	_aHuman behavior
650		0	_aGame theory
700	1		_aLin, W. Sabrina
700	1		_aLiu, K. J. Ray
999			_aVIRTUA40 _c62876 _d62882
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5040*5200*6500*6501*6502*6503*7000*7001*9992