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001400391 020__ $$z9781466584518 (hardback)
001400391 020__ $$a9781466584525 (e-book)
001400391 035__ $$a(MiAaPQ)EBC1591690
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001400391 035__ $$a(CaPaEBR)ebr10961798
001400391 035__ $$a(CaONFJC)MIL695111
001400391 035__ $$a(OCoLC)894611737
001400391 040__ $$aMiAaPQ$$beng$$erda$$epn$$cMiAaPQ$$dMiAaPQ
001400391 050_4 $$aQA166$$b.Q36 2015
001400391 0820_ $$a511/.5$$223
001400391 24500 $$aQuantitative graph theory :$$bmathematical foundations and applications /$$cedited by Matthias Dehmer, Frank Emmert-Streib.
001400391 264_1 $$aBoca Raton :$$bCRC Press,$$c[2015]
001400391 264_4 $$c©2015
001400391 300__ $$a1 online resource (516 pages) :$$billustrations.
001400391 336__ $$atext$$2rdacontent
001400391 337__ $$acomputer$$2rdamedia
001400391 338__ $$aonline resource$$2rdacarrier
001400391 4901_ $$aDiscrete mathematics and its applications
001400391 504__ $$aIncludes bibliographical references and index.
001400391 506__ $$aAccess limited to authorized users.
001400391 520__ $$a"Graph-based approaches have been employed extensively in several disciplines such as biology, computer science, chemistry, and so forth. In the 1990s, exploration of the topology of complex networks became quite popular and was triggered by the breakthrough of the Internet and the examinations of random networks. As a consequence, the structure of random networks has been explored using graph-theoretic methods and stochastic growth models. However, it turned out that besides exploring random graphs, quantitative approaches to analyze networks are crucial as well. This relates to quantifying structural information of complex networks by using ameasurement approach. As demonstrated in the scientific literature, graph- and informationtheoretic measures, and statistical techniques applied to networks have been used to do this quantification. It has been found that many real-world networks are composed of network patterns representing nonrandom topologies.Graph- and information-theoretic measures have been proven efficient in quantifying the structural information of such patterns. The study of relevant literature reveals that quantitative graph theory has not yet been considered a branch of graph theory"--$$cProvided by publisher.
001400391 588__ $$aDescription based on print version record.
001400391 650_0 $$aGraph theory$$xData processing.
001400391 650_0 $$aCombinatorial analysis.
001400391 655_0 $$aElectronic books
001400391 7001_ $$aDehmer, Matthias,$$d1968-$$eeditor.
001400391 7001_ $$aEmmert-Streib, Frank,$$eeditor.
001400391 77608 $$iPrint version:$$tQuantitative graph theory : mathematical foundations and applications.$$dBoca Raton : CRC Press, [2015]$$z9781466584518$$w(DLC)10961798
001400391 830_0 $$aDiscrete mathematics and its applications.
001400391 852__ $$bebk
001400391 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1591690$$zOnline Access
001400391 909CO $$ooai:library.usi.edu:1400391$$pGLOBAL_SET
001400391 980__ $$aBIB
001400391 980__ $$aEBOOK
001400391 982__ $$aEbook
001400391 983__ $$aOnline