Models, Algorithms, and Technologies for Network Analysis: Proceedings of the First International Conference on Network Analysis

ISBN-13: 9781461455738 / Angielski / Twarda / 2012 / 234 str.

Boris Goldengorin; Valery A. Kalyagin; Panos M. Pardalos

Opis

​​ ​Network Analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of these proceedings is to overcome this difficulty by collecting the major results found by the participants of the "First International Conference in Network Analysis," held at The University of Florida, Gainesville, USA, from the 14th to the 16th of December 2011. The contributions of this conference not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology and applications.

Spis treści

.-Preface.-The 1st International Conference on Network Analysis.-Soliton Self-Wave Number Down Shift Compensation by the Increasing Second-Order Disperson (N.V. Aseeva, E.M. Gromov, V.V. Tyutin).-Pattern-Based Heuristic for the Cell Formation Problem in Group Technology (M. Batsyn, I. Bychkov, B. Goldengorin, P. Pardalos, P. Sukov).-An Analytical Expression for the Distribution of the Sum of Random Variables with a Mixed Uniform Density and Mass Function (M. Batsyn, V. Kalyagin).-Modular Contractions and Their Application (V. Chistyakov).-Network-Based Representation of Stock Market Dynamics: An Application to American and Swedish Stock Markets (D. Jallo, D. Budai, V. Boginski, B. Goldengorin, P. Pardalos).-On a Numerically Stable Algorithm for the Analysis of Generalizaed Volterra Lattice (V. Kalyagin, M. Sokolov).-How Close to Optimal Are Small World Properties of Human Brain Networks? (D. Korenkevych, F. Skidmore, B. Goldengorin, P. Pardalos).-Optimizing Network Topology to Reduce Aggregate Traffic in Systems of Mobile Agents (L. Navaravong, J. Shea, E. Pasiliao, G. Barnette, W. Dixon).-Integreated Production Planning, Shift Planning, and Detailed Scheduling in a Tissue Paper Manufacturer (Z. Teksan, A. Unal, Z. Taskin).-Evacuation Through Clustering Techniques (C. Vogiatzis, J. Walteros, P. Pardalos).-Economic Analysis of the N-k Power Grid Contingency Selection and Evaulation (H. Xu).-Calcium Transient Imaging as Tool for Neuronal and Glial Network Interaction Study (Y. Zakharov, E. Mitroshina, O. Shirokova, I. Mukhina).-Index

Blurb

This volume contains a selection of contributions from the "First
International Conference in Network Analysis," held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the major results found by the participants and combining them in one easily accessible compilation.

Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications.