Models Algorithms And Technologies For Network Analysis Net 2016 Nizhny

This Valuable Source For Graduate Students And Researchers Provides A Comprehensive Introduction To Current Theories And Applications In Optimization Methods And Network Models. Contributions To This Book Are Focused On Efficient Algorithms And Rigorous Mathematical Theories, Which Can Be To Optimize And Analyze Mathematical Graph Structures With Massive Size And High Density Induced By Natural Or Artificial Complex Networks. Applications To Social Networks, Power Transmission Grids, Telecommunication Networks, Stock Market Networks, And Human Brain Networks Are Presented.chapters In This Book Cover The Following Topics:linear Max Min Fairnessheuristic Approaches For High-quality Solutionsefficient Approaches For Complex Multi-criteria Optimization Problemscomparison Of Heuristic Algorithmsnewnbsp; Heuristic Iterative Local Searchnbsp;power In Network Structuresclustering Nodes In Random Graphspower Transmission Grid Structurenetwork Decomposition Problemshomogeneity Hypothesis Testingnetwork Analysis Of International Migrationsocial Networks With Node Attributestesting Hypothesis On Degree Distribution In The Market Graphsmachine Learning Applications To Human Brain Network Studiesnbsp;this Proceeding Is A Result Of The 6th International Conference On Network Analysis Held At The Higher School Of Economics, Nizhny Novgorod In May 2016.