Models, Algorithms and Technologies for Network Analysis
NET 2014, Nizhny Novgorod, Russia, May 2014
Nonfiction, Science & Nature, Mathematics, Combinatorics, Computers, Programming
| Author: | ISBN: | 9783319296081 | |
| Publisher: | Springer International Publishing | Publication: | October 20, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319296081 |
| Publisher: | Springer International Publishing |
| Publication: | October 20, 2016 |
| Imprint: | Springer |
| Language: | English |
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
