Models, Algorithms And Technologies For Network Analysis: From The Third International Conference On Network Analysis (springer Proceedings In Mathematics & Statistics)
by Panos M. Pardalos /
2014 / English / PDF
3.4 MB Download
This volume compiles the major results of conference participants
from the "Third International Conference in Network Analysis"
held at the Higher School of Economics, Nizhny Novgorod in May
2013, with the aim to initiate further joint research among
different groups. The contributions in this book 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.
This volume compiles the major results of conference participants
from the "Third International Conference in Network Analysis"
held at the Higher School of Economics, Nizhny Novgorod in May
2013, with the aim to initiate further joint research among
different groups. The contributions in this book 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.
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 has brought together
researchers, practitioners from numerous fields such as
operations research, computer science, transportation, energy,
biomedicine, computational neuroscience and social sciences. In
addition, new approaches and computer environments such as
parallel computing, grid computing, cloud computing, and quantum
computing have helped to solve large scale network optimization
problems.
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 has brought together
researchers, practitioners from numerous fields such as
operations research, computer science, transportation, energy,
biomedicine, computational neuroscience and social sciences. In
addition, new approaches and computer environments such as
parallel computing, grid computing, cloud computing, and quantum
computing have helped to solve large scale network optimization
problems.