000			04137nam a22004937a 4500
001			sulb-eb0024822
003			BD-SySUS
005			20160413122458.0
007			cr nn 008mamaa
008			130220s2013 gw | s |||| 0|eng d
020			_a9783642368448 _9978-3-642-36844-8
024	7		_a10.1007/978-3-642-36844-8 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aComplex Networks IV _h[electronic resource] : _bProceedings of the 4th Workshop on Complex Networks CompleNet 2013 / _cedited by Gourab Ghoshal, Julia Poncela-Casasnovas, Robert Tolksdorf.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aVIII, 195 p. 90 illus., 31 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v476
505	0		_aFrom the Contents: Detecting social capitalists on Twitter using similarity measures -- Semantics of User Interaction in Social Media -- Social achievement and centrality in MathOverflow -- Analysis of Communities Evolution in Dynamic Social Networks -- Entropy Production in Stationary Social Networks -- An Analysis of the Overlap of Categories in a Network of Blogs -- The Relative Agreement model of opinion dynamics in populations with complex social network structure.
520			_aA network is a mathematical object consisting of a set of points (called vertices or nodes) that are connected to each other in some fashion by lines (called edges). Turns out this simple description corresponds to a bewildering array of systems in the real world, ranging from technological ones such as the Internet and World Wide Web, biological networks such as that of connections of the nervous systems or blood vessels, food webs, protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social acquaintance such as friendship, network of Hollywood actors, connections between business houses and many more. Recent years have witnessed a substantial amount of interest within the scientific community in the properties of these networks. The emergence of the internet in particular, coupled with the widespread availability of inexpensive computing resources has facilitated studies ranging from large scale empirical analysis of networks in the real world, to the development of theoretical models and tools to explore the various properties of these systems. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together a collection of cutting-edge research in the field from a diverse array of researchers ranging from physicists to social scientists, and presents them in a coherent fashion, highlighting the strong interconnections between the different areas. Topics included are social networks and social media, opinion and innovation diffusion, syncronization, transportation networks and human mobility, as well as theory, modeling and metrics of Complex Networks.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aGhoshal, Gourab. _eeditor.
700	1		_aPoncela-Casasnovas, Julia. _eeditor.
700	1		_aTolksdorf, Robert. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642368431
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v476
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-36844-8
912			_aZDB-2-ENG
942			_2Dewey Decimal Classification _ceBooks
999			_c46914 _d46914