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Big Data of Complex Networks

Big Data of Complex Networks

Interesting Research Book in Big Data of Complex Networks

Author(s) Name:  Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl, Andreas Holzinger

About the Book:

   The book presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. This book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks.
   Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.

Table of Contents

  • Big Data of Complex Networks: Challenges and Perspectives
  • Theory and Practice of Sampling Large Networks
  • Scale Graph: Large-Scale Graph Analytics Library
  • Techniques for the Management and Querying of Big Data in Large Scale Communication Networks
  • Fast Heuristics for Some Covering and Dominating Problems in Large-Scale Graphs
  • Aspects of Large Network in Economy
  • Network Visualization in the Context of Large Network Analysis
  • ISBN:  9781498723619

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2016

    Book Link:  Home Page Url