000			03905nam a22005055i 4500
001			978-3-319-05401-8
003			DE-He213
005			20200420220225.0
007			cr nn 008mamaa
008			140220s2014 gw | s |||| 0|eng d
020			_a9783319054018 _9978-3-319-05401-8
024	7		_a10.1007/978-3-319-05401-8 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aComplex Networks V _h[electronic resource] : _bProceedings of the 5th Workshop on Complex Networks CompleNet 2014 / _cedited by Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aX, 330 p. 94 illus., 78 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 ; _v549
505	0		_aSocial networks, social media and the arts -- Diffusion, transportation and search on networks -- Network theory, structure, growth and community detection -- Biological and health-related networks -- Language networks and science of science.
520			_aA network is a mathematical object consisting of a set of points that are connected to each other in some fashion by lines. It 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, food webs, or  protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social and professional relationships such as friendship, sex partners, network of Hollywood actors, co-authorship networks 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,  biological and health-related networks, language networks, as well as network theory, community detection,  or growth models for Complex Networks.
650		0	_aEngineering.
650		0	_aComputational intelligence.
650		0	_aBiomedical engineering.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aBiomedical Engineering.
700	1		_aContucci, Pierluigi. _eeditor.
700	1		_aMenezes, Ronaldo. _eeditor.
700	1		_aOmicini, Andrea. _eeditor.
700	1		_aPoncela-Casasnovas, Julia. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319054001
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v549
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-05401-8
912			_aZDB-2-ENG
942			_cEBK
999			_c52132 _d52132