LEADER 04535nam 22006015 450 001 9910299711603321 005 20200706023223.0 010 $a3-319-05401-5 024 7 $a10.1007/978-3-319-05401-8 035 $a(CKB)3710000000089168 035 $a(DE-He213)978-3-319-05401-8 035 $a(SSID)ssj0001186852 035 $a(PQKBManifestationID)11777491 035 $a(PQKBTitleCode)TC0001186852 035 $a(PQKBWorkID)11241447 035 $a(PQKB)10255679 035 $a(MiAaPQ)EBC3092094 035 $a(PPN)176752501 035 $a(EXLCZ)993710000000089168 100 $a20140220d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplex Networks V $eProceedings of the 5th Workshop on Complex Networks CompleNet 2014 /$fedited by Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 330 p. 94 illus., 78 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v549 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-05400-7 320 $aIncludes bibliographical references and index. 327 $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. 330 $aA network is a mathematical object consisting of a set of points that are connected to each other in some fashion by lines. It turns out this simple description corresponds to a bewildering array of systems in the real world, ranging from technological ones such as the Internet and World Wide Web, biological networks such as that of connections of the nervous systems, food webs, or  protein interactions, infrastructural systems such as networks of roads, airports or the power-grid, to patterns of social and professional relationships such as friendship, sex partners, network of Hollywood actors, co-authorship networks and many more. Recent years have witnessed a substantial amount of interest within the scientific community in the properties of these networks. The emergence of the internet in particular, coupled with the widespread availability of inexpensive computing resources has facilitated studies ranging from large scale empirical analysis of networks in the real world, to the development of theoretical models and tools to explore the various properties of these systems. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together a collection of cutting-edge research in the field from a diverse array of researchers ranging from physicists to social scientists, and presents them in a coherent fashion, highlighting the strong interconnections between the different areas. Topics included are social networks and social media, opinion and innovation diffusion,  biological and health-related networks, language networks, as well as network theory, community detection,  or growth models for Complex Networks. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v549 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 676 $a006.3 702 $aContucci$b Pierluigi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMenezes$b Ronaldo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOmicini$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPoncela-Casasnovas$b Julia$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299711603321 996 $aComplex Networks V$92289761 997 $aUNINA