Complex networks : an algorithmic perspective / Kayhan Erciyes.
Material type:
TextPublisher: Boca Raton : CRC Press/Taylor & Francis Group, [2015]Description: xxv, 294 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781466571662 Subject(s): System analysis -- Mathematics | Computational complexity | Algorithms | COMPUTERS / Networking / General | COMPUTERS / Operating Systems / General | MATHEMATICS / ArithmeticDDC classification: 003.72 ERC 2015 Online resources: Cover image Summary: "Network science is an emerging field of study that encompasses mathematics, computer science, physics, and engineering. An important issue in the study of complex networks is to understand the collective behavior of the elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, there are few books on the algorithmic aspects of complex network analysis. Filling this need, this book supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every researcher of complex networks"-- Provided by publisher.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Pusat Sumber Pendidikan IABI | 003.72 ERC 2015 (Browse shelf (Opens below)) | Available | 0000012026 | |
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Pusat Sumber Pendidikan IABI | 003.72 ERC 2015 (Browse shelf (Opens below)) | Available | 0000013690 | |
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Pusat Sumber Pendidikan IABI | 003.72 ERC 2015 (Browse shelf (Opens below)) | Available | 0000013691 |
"Network science is an emerging field of study that encompasses mathematics, computer science, physics, and engineering. An important issue in the study of complex networks is to understand the collective behavior of the elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, there are few books on the algorithmic aspects of complex network analysis. Filling this need, this book supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every researcher of complex networks"-- Provided by publisher.
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