This book explores the basic theory of complex networks, presenting new mathematical approaches and optimization techniques for designing and analyzing dynamic complex networks. Covers applications in communications, engineering, social networks and more.

Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, 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 communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology.

This is the first publication of results and articles that study complex network systems from an optimization perspective Presents the most recent research developments in the study of optimization in complex social and communication networks Includes new research on optimization techniques applied to online social networks and online media Includes supplementary material: sn.pub/extras

Autorentext

Panos Pardalos is Distinguished Professor of Industrial and Systems Engineering at the University of Florida. He is also affiliated faculty member of the Computer Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. He is also the director of the Center for Applied Optimization. He is the editor-in-chief of the Journal of Global Optimization, Journal of Optimization Letters, and Computational Management Science. In addition, he is the managing editor of several book series, and a member of the editorial board of several international journals. He is the author of 8 books and the editor of several books. He has written numerous articles and developed several well known software packages. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.

My T. Thai is an Associate Professor in the Computer & Information Science & Engineering department at the University of Florida. Her research interests are centered on the Combinatorial Optimization and its connection to Networks, including communication networks, online social networks, wireless sensor networks, and biological networks. The results of her work have been published in about 60 articles and 4 books since 2005. She has engaged in many professional activities, serving many conferences such as being a conference chair of COCOON 2010 and DIS 2011. She is an associate editor of Journal of Combinatorial Optimization (JOCO), Optimization Letters, and Ad Hoc & Wireless Sensor Networks journal. She is also a guest editor of several other journals and a series editor of Springer Briefs in Optimization. She has received many research awards including a Provost's Excellence Award for Assistant Professors at the University of Florida, a DoD Young Investigator Award, and an NSF CAREER Award.

Klappentext
This second volume of the "Handbook Optimization in Complex Networks" presents the most recent research and developments in the application of optimization techniques to the study of complex communication and social networks. This book present several optimization models and their application to a variety of network settings including: online social networks, wireless communication networks, as well as models that describe virus and social media propagation. This book can serve as a useful resource to any student or researcher interested in the application of optimization techniques to communication and or social networks.

Inhalt

Preface.- 1. Structural Vulnerability and Robustness in Complex Networks: Different Approaches and Relationships between Them (R. Criado, M. Romance).- 2. Optimizing Network Topology for Cascade Resilience (A. Gutfraind).- 3. Optimizing Synchronization, Flow, and Robustness in Weighted Complex Networks (G. Korniss, R. Huang, S. Sreenivasan, B.K. Szymanski).- 4. Joint Optimization of Resources and Routes for Minimum Resistance: From Communication Networks to Power Grids (A. Tizghadam, A. Bigdeli, A. Leon-Garcia, H. Naser).- 5. Clique Relaxation Models in Social Network Analysis (J. Pattillo, N. Yourssef, S. Butenko).- 6. Application Traffic Activity Graph Analysis (Y. Jin, E. Sharafuddin, Z.-L. Zhang).- 7. Localized Bridging Centrality (S. Nanda, D. Kotz).- 8. On Throughput Maximization Problem for UWB-Based Sensor Networks via Reformulation-Linearization Technique (Y. Shi, Y.T. Hou, H.D. Sherali).- 9. A Parallel Routing Algorithm for Traffic Optimization (M.L. Wang, K.H. Yeung, and F. Yan).- 10: Internet based Service Networks (L.-Y. Cui, S. Kumara, R. Albert).- 11. On Detection of Community Structure in Dynamic Social Networks (N. P. Nguyen, Y. Xuan, M. T. Thai).- 12: Path Formation in Human Contact Networks (N. Sastry, P. Hui).- 13. Social Forwarding in Mobile Opportunistic Networks: A case of PeopleRank (A. Mtibaa, M. May, M. Ammar).- 14. Discount Targeting in Online Social Networks Using Backpressure-Based Learning (S. Shakkottai, L. Ying).- 15. Social-Aware Data Diffusion in Delay Tolerant MANETs (Y. Zhang, W. Gao, G. Cao, T. La Porta, B. Krishnamachari, A. Iyengar).- 16. Security and Privacy in Online Social Networks: Optimization Perspectives (L. Ding, H. Du, W. Wu).- 17. A Social Network Based Patching Scheme for Worm Containment in Cellular Networks (Z. Zhu, G. Cao, S. Zhu, S. Ranjan, A. Nucci).