• Media type: E-Book; Doctoral Thesis; Electronic Thesis; Text
  • Title: Algorithms and Software for the Analysis of Large Complex Networks
  • Contributor: Staudt, Christian Lorenz [Author]
  • imprint: KIT-Bibliothek, Karlsruhe, 2016-01-01
  • Language: English
  • DOI: https://doi.org/10.5445/IR/1000056470
  • Keywords: data analysis software ; network science ; graph algorithms ; DATA processing & computer science
  • Origination:
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  • Description: The work presented intersects three main areas, namely graph algorithmics, network science and applied software engineering. Each computational method discussed relates to one of the main tasks of data analysis: to extract structural features from network data, such as methods for community detection; or to transform network data, such as methods to sparsify a network and reduce its size while keeping essential properties; or to realistically model networks through generative models.
  • Access State: Open Access