000 04030nam a22003975i 4500
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020 _a9783642368448
_99783642368448
024 7 _a10.1007/9783642368448
_2doi
035 _avtls000361138
039 9 _a201509030619
_bVLOAD
_c201405070310
_dVLOAD
_y201402210941
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aGhoshal, Gourab.
_eeditor.
_9346397
245 1 0 _aComplex Networks IV :
_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 páginas 60 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v476
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPoncela-Casasnovas, Julia.
_eeditor.
_9346398
700 1 _aTolksdorf, Robert.
_eeditor.
_9333292
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642368431
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-36844-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c306971
_d306971