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ประเภทวัสดุ
หนังสือ
| ชื่อเรื่อง | Quantitative graph theory : mathematical foundations and applications / edited by Matthias Dehmer and Frank Emmert-Streib. |
| Dewey Call # | 511.5 Q17 2015 |
| ผู้แต่งเพิ่มเติม | Dehmer, Matthias,1968- ed. |
| | Emmert-Streib, Frank, jt.ed. |
| เนื้อหา | What is quantitative graph theory? /Matthias Dehmer, Veronika Kraus, Frank Emmert-Streib, and Stefan Pickl --Localization of graph topological indices via majorization technique /Monica Bianchi, Alessandra Cornaro, Jos? Luis Palacios, and Anna Torriero --Wiener index of hexagonal chains with segments of equal length /Andrey A. Dobrynin --Metric-extremal graphs /Ivan Gutman and Boris Furtula --Quantitative methods for nowhere-zero flows and edge colorings /Martin Kochol --Width-measures for directed graphs and algorithmic applications /Stephan Kreutzer and Sebastian Ordyniak --Betweenness centrality in graphs /Silvia Gago, Jan Coroni?ov? Hurajov?, and Tom?? Madaras --On a variant Szeged and PI indices of Thorn graphs /Mojgan Mogharrab and Reza Sharafdini --Wiener index of line graphs /Martin Knor and Riste ?krekovski --Single-graph support measures /Toon Calders, Jan Ramon, and Dries VanDyck --Network sampling algorithms and applications /Michael Drew LaMar and Rex K. Kincaid --Discriminationof image textures using graph indices /Martin Welk --Network analysis applied to the political networks of Mexico /Philip A. Sinclair --Social network centrality,movement identification, and the participation of individuals in a social movement : the case of the Canadian environmental movement /David B. Tindall, Joanna L. Robinson, and Mark C.J. Stoddart --Graph kernels in chemoinformatics /Beno?t Ga?z?re, Luc Brun, and Didier Villemin --Chemical compound complexity in biological pathways /Atsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita. |
| หัวเรื่อง | GRAPH THEORY--DATA PROCESSING. |
| | COMBINATORIAL ANALYSIS. |
| ISBN | 9781466584518 |
| พิมพลักษณ์ | Boca Raton : CRC Press, Taylor & Francis Group, 2015. |
| ชื่อเรื่อง | Quantitative graph theory : mathematical foundations and applications / edited by Matthias Dehmer and Frank Emmert-Streib. |
| Dewey Call # | 511.5 Q17 2015 |
| ผู้แต่งเพิ่มเติม | Dehmer, Matthias,1968- ed. |
| | Emmert-Streib, Frank, jt.ed. |
| ISBN | 9781466584518 |
| พิมพลักษณ์ | Boca Raton : CRC Press, Taylor & Francis Group, 2015. |
| Series | Discrete mathematics and its applications. |
| เนื้อหา | What is quantitative graph theory? /Matthias Dehmer, Veronika Kraus, Frank Emmert-Streib, and Stefan Pickl --Localization of graph topological indices via majorization technique /Monica Bianchi, Alessandra Cornaro, Jos? Luis Palacios, and Anna Torriero --Wiener index of hexagonal chains with segments of equal length /Andrey A. Dobrynin --Metric-extremal graphs /Ivan Gutman and Boris Furtula --Quantitative methods for nowhere-zero flows and edge colorings /Martin Kochol --Width-measures for directed graphs and algorithmic applications /Stephan Kreutzer and Sebastian Ordyniak --Betweenness centrality in graphs /Silvia Gago, Jan Coroni?ov? Hurajov?, and Tom?? Madaras --On a variant Szeged and PI indices of Thorn graphs /Mojgan Mogharrab and Reza Sharafdini --Wiener index of line graphs /Martin Knor and Riste ?krekovski --Single-graph support measures /Toon Calders, Jan Ramon, and Dries VanDyck --Network sampling algorithms and applications /Michael Drew LaMar and Rex K. Kincaid --Discriminationof image textures using graph indices /Martin Welk --Network analysis applied to the political networks of Mexico /Philip A. Sinclair --Social network centrality,movement identification, and the participation of individuals in a social movement : the case of the Canadian environmental movement /David B. Tindall, Joanna L. Robinson, and Mark C.J. Stoddart --Graph kernels in chemoinformatics /Beno?t Ga?z?re, Luc Brun, and Didier Villemin --Chemical compound complexity in biological pathways /Atsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita. |
| หัวเรื่อง | GRAPH THEORY--DATA PROCESSING. |
| | COMBINATORIAL ANALYSIS. |
| ลักษณะทางกายภาพ | xiii, 508 p. :ill. |
| LDR | | 04169nam a2200241 a 4500 |
| 005 | | 20151102173238.0 |
| 008 | | 150304s2015 enka 001 0 eng d |
| 020 | __ | ‡a9781466584518 |
| 082 | 04 | ‡a511.5‡bQ17‡d2015 |
| 245 | 00 | ‡aQuantitative graph theory :‡bmathematical foundations and applications /‡cedited by Matthias Dehmer and Frank Emmert-Streib. |
| 260 | __ | ‡aBoca Raton :‡bCRC Press, Taylor & Francis Group,‡c2015. |
| 300 | __ | ‡axiii, 508 p. :‡bill. |
| 490 | 0_ | ‡aDiscrete mathematics and its applications. |
| 505 | 1_ | ‡aWhat is quantitative graph theory? /‡rMatthias Dehmer, Veronika Kraus, Frank Emmert-Streib, and Stefan Pickl --‡tLocalization of graph topological indices via majorization technique /‡rMonica Bianchi, Alessandra Cornaro, Jos? Luis Palacios, and Anna Torriero --‡tWiener index of hexagonal chains with segments of equal length /‡rAndrey A. Dobrynin --‡tMetric-extremal graphs /‡rIvan Gutman and Boris Furtula --‡tQuantitative methods for nowhere-zero flows and edge colorings /‡rMartin Kochol --‡tWidth-measures for directed graphs and algorithmic applications /‡rStephan Kreutzer and Sebastian Ordyniak --‡tBetweenness centrality in graphs /‡rSilvia Gago, Jan Coroni?ov? Hurajov?, and Tom?? Madaras --‡tOn a variant Szeged and PI indices of Thorn graphs /‡rMojgan Mogharrab and Reza Sharafdini --‡tWiener index of line graphs /‡rMartin Knor and Riste ?krekovski --‡tSingle-graph support measures /‡rToon Calders, Jan Ramon, and Dries VanDyck --‡tNetwork sampling algorithms and applications /‡rMichael Drew LaMar and Rex K. Kincaid --‡tDiscriminationof image textures using graph indices /‡rMartin Welk --‡tNetwork analysis applied to the political networks of Mexico /‡rPhilip A. Sinclair --‡tSocial network centrality,movement identification, and the participation of individuals in a social movement : the case of the Canadian environmental movement /‡rDavid B. Tindall, Joanna L. Robinson, and Mark C.J. Stoddart --‡tGraph kernels in chemoinformatics /‡rBeno?t Ga?z?re, Luc Brun, and Didier Villemin --‡tChemical compound complexity in biological pathways /‡rAtsuko Yamaguchi and Kiyoko F. Aoki-Kinoshita. |
| 520 | __ | ‡aThis book presents methods for analyzing graphs and networks quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, it covers a wide range of quantitative graph-theoretical concepts and methods, including those pertaining to random graphs. Through its broad coverage, the book fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines"--‡cProvided by publisher. |
| 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 aswell. 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 theoryhas not yet been considered a branch of graph theory"--‡cProvided by publisher |
| 650 | _7 | ‡aGRAPH THEORY‡xDATA PROCESSING. |
| 650 | _7 | ‡aCOMBINATORIAL ANALYSIS. |
| 700 | 1_ | ‡aDehmer, Matthias,‡d1968-‡eed. |
| 700 | 1_ | ‡aEmmert-Streib, Frank,‡ejt.ed. |
| 850 | __ | ‡aPSUJFK |
|