Handbook of Optimization in Complex Networks [electronic resource] : Theory and Applications /
Thai, My T.editor.
Pardalos, Panos M.editor.(orcid)0000-0003-2824-101Xhttps://orcid.org/0000-0003-2824-101Xedt
Complex Networks is a newly emerging field with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. There has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines ranging from mathematics and computer science to the social and biological sciences. Optimization of complex networks with real-world applications requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. The Handbook of Optimization in Complex Networks: Theory and Applications provides the basic theory of these networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks.   The volume features a wide range of applications and optimization problems derived from research areas such as computer science, operations research, cellular and molecular chemistry, brain physiology, epidemiology, and ecology. This volume, as well as its companion (The Handbook of Optimization in Complex Networks: Communication and Social Networks ISBN: 978-1-4614-0856-7) is an excellent resource for graduate students, researchers, and practitioners who wish to learn about the most up to date theory and applications on optimization of complex real-world networks.  .
Description based upon print version of record.
Includes bibliographical references and index.
Preface -- 1. Optimization in Designing Complex Communication Networks (F.S.H. Souza, G.R. Mateus, A.S. Cunha) -- 2. Fitness-based Generative Models for Power-Law Networks (K. Nguyen, D.A. Tran) -- 3. Double Pareto Lognormal Distributions in Complex Networks (Z. Fang, J. Wang, B. Liu, W. Gong) -- 4. Laplacian Spectra and Synchronization Processes on Complex Networks (J. Chen, J. Lu, C. Zhan, G. Chen) -- 5. Growing Networks driven by the Evolutionary Prisoner’s Dilemma Game (J. Poncela, J. Gomez-Gardenes, L.M. Floria, Y. Moreno) -- 6. Defining and Discovering Communities in Social Networks (S. Kelley, M. Goldberg, M. Magdon-Ismail, K. Mertsalov, A. Wallace) -- 7. Modularity Maximization and Tree Clustering: Novel Ways to Determine Effective Geographic Borders (D. Grady, R. Brune, C. Thiemann, F. Theis, D. Brockmann) -- 8. Emergence and Structure of Cybercommunities (M. Mitrovic, B. Tadic) -- 9. k-core Organization in Complex Networks (G.J. Baxter, S.N. Dorogovtsev, A.V. Goltsev, J.F.F. Mendes) -- 10. Hardness Complexity of Optimal Substructure Problems on Power-Law Graphs (Y. Shen, D.T. Nguyen, M. T. Thai) -- 11. Path Problems in Complex Networks (P. Ghosh, A. Sen) -- 12. Optimized Design of Large-scale Social Welfare Supporting Systems on Complex Networks (J. Janacek, L. Janosıkova, L. Buzna) -- 13. Optimal Flows in Dynamic Networks and Algorithms for Their Finding (M. Fonoberova) -- 14. Some Distributed Approaches to the Service Facility Location Problem in Dynamic and Complex Networks (I. Stavrakakis) -- 15. Modeling Epidemic Spreading in Complex Networks: Concurrency and Traffic (S. Meloni, A. Arenas, S. Gomez, J. Borge-Holthoefer, Y. Moreno) -- 16. Theory of citing (M.V. Simkin, V.P. Roychowdhury) -- 17. TTLed Random Walks for Collaborative Monitoring in Mobile and Social Networks (Y. Altshuler, S. Dolev, Y. Elovici).
Complex Networks is a newly emerging field with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. There has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines ranging from mathematics and computer science to the social and biological sciences. Optimization of complex networks with real-world applications requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. The Handbook of Optimization in Complex Networks: Theory and Applications provides the basic theory of these networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks.   The volume features a wide range of applications and optimization problems derived from research areas such as computer science, operations research, cellular and molecular chemistry, brain physiology, epidemiology, and ecology. This volume, as well as its companion (The Handbook of Optimization in Complex Networks: Communication and Social Networks ISBN: 978-1-4614-0856-7) is an excellent resource for graduate students, researchers, and practitioners who wish to learn about the most up to date theory and applications on optimization of complex real-world networks.  .
Mathematical optimization.
Computer communication systems.
Electrical engineering.
Optimization.
Computer Communication Networks.
Communications Engineering, Networks.


Springer Optimization and Its Applications