| Description |
1 online resource (pages cm). |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Mathematics Research Developments
|
|
Mathematics research developments series.
|
| Note |
Includes index. |
| Contents |
Applications of graph theory in architectural analysis : past, present and future research / Michael J. Dawes, Michael J. Ostwald, School of Architecture and Built Environment, The University of Newcastle, Callaghan, NSW, Australia -- Miesian intersections : comparing and evaluating graph theory approaches to architectural spatial analysis / Michael J. Ostwald, Michael J. Dawes, The University of Newcastle, New South Wales, Australia -- The algebraic structure of graphs / Antonios Kalampakas, Vassilios Tsiantos, Department of Production Engineering and Management, Democritus University of Thrace, Xanthi, Greece, and others -- The combination of graph theory and unsupervised learning applied to social data mining / Hector D. Menendez, Jose Luis Llorente, Universidad Autonoma de Madrid, Escuela Politecnica Superior, Cantoblanco, Madrid, Spain -- About organizing and structuring the contents of mathematical subjects using graph theory / Angelica Martinez-Zarzuelo, Eugenio Roanes-Lozano, Maria Jose Fernandez-Diaz, Depto. de Evaluacion y Analisis de Datos, Instituto Nacional de Evaluacion Educativa, Ministerio de Education, Cultura y Deporte, Madrid, Spain, and others -- A modularity based filtering approach for network immunization / Tetsuya Yoshida, Yuu Yamada, Graduate School of Information Science and Technology, Hokkaido University, Japan. |
| Summary |
Graphs can be used to model many types of relations and process dynamics in physical, biological, social and information systems. Many practical problems can be represented by graphs. In this book, the authors present new research on graph theory including the applications of graph theory in architectural analysis; Miesian intersections and comparing and evaluating graph theory approaches to architectural spatial analysis; the algebraic structure of graphs; the combination of graph theory and unsupervised learning applied to social data mining; organizing and structuring the contents of mathem. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Graph theory.
|
|
Graph theory. |
| Genre/Form |
Electronic books.
|
|
Electronic books.
|
| Added Author |
Cavalcante, Alessandra, editor.
|
| Added Title |
Graph theory (Nova Science Publishers)
|
| Other Form: |
Print version: Graph theory (Nova Science Publishers). Graph theory. Hauppauge, New York : Nova Science Publisher's, Inc., 2013 9781628085433 (DLC) 2013026858 (OCoLC)852031615 |
| ISBN |
9781628085440 (electronic book) |
|
1628085444 (electronic book) |
|
9781628085433 |
|
1628085436 |
|
