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2 results

  • 9 - Related Models

  • from Part IV - Related Models and Problems
  • Remco van der Hofstad, Technische Universiteit Eindhoven, The Netherlands
  • Book:
    Random Graphs and Complex Networks
    Published online:
    08 February 2024
    Print publication:
    08 February 2024, pp 383-460

  • Summary

    In this chapter we discuss some related random graph models that have been studied in the literature. We explain their relevance, as well as some of the properties in them. We discuss directed random graphs, random graphs with local and global community structures, as well as spatial random graphs.

Reconstructing Networks

Reconstructing Networks
  • Giulio Cimini, Rossana Mastrandrea, Tiziano Squartini
  • Published online:
    10 August 2021
    Print publication:
    09 September 2021
  • Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply hidden because of privacy issues. This Element provides an overview of the ideas, methods and techniques to deal with this problem and that together define the field of network reconstruction. Given the extent of the subject, the authors focus on the inference methods rooted in statistical physics and information theory. The discussion is organized according to the different scales of the reconstruction task, that is, whether the goal is to reconstruct the macroscopic structure of the network, to infer its mesoscale properties, or to predict the individual microscopic connections.