Big Data of Complex Networks

Matthias Dehmer (Editor), Frank Emmert-Streib (Editor), Stefan Pickl (Editor), Andreas Holzinger (Editor)

Research output: Book/ReportBookpeer-review


Big Data of Complex Networks 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. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, 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.
Original languageEnglish
Place of PublicationBoca Raton, London, New York
PublisherCRC Press Taylor & Francis Group
Number of pages320
ISBN (Print)9781498723619
Publication statusPublished - 16 Sept 2016


  • Machine Learning
  • Graph-Based Data Mining
  • Knowledge Discovery
  • Network Science
  • Complex Networks

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)


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