QuACN

R package QuACN: QuACN: Quantitative Analysis of Complex Networks. Quantitative Analysis of Complex Networks. This package offers a set of topological network measures to analyze complex Networks structurally.


References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
Sorted by year (citations)

  1. Dehmer, Matthias; Chen, Zengqiang; Shi, Yongtang; Zhang, Yusen; Tripathi, Shailesh; Ghorbani, Modjtaba; Mowshowitz, Abbe; Emmert-Streib, Frank: On efficient network similarity measures (2019)
  2. Dehmer, Matthias; Chen, Zengqiang; Emmert-Streib, Frank; Shi, Yongtang; Tripathi, Shailesh: Graph measures with high discrimination power revisited: a random polynomial approach (2018)
  3. Dehmer, Matthias; Chen, Zengqiang; Emmert-Streib, Frank; Shi, Yongtang; Tripathi, Shailesh; Musa, Aliyu; Mowshowitz, Abbe: Properties of graph distance measures by means of discrete inequalities (2018)
  4. Dehmer, Matthias; Emmert-Streib, Frank; Grabner, Martin: A computational approach to construct a multivariate complete graph invariant (2014)
  5. Kraus, Veronika; Dehmer, Matthias; Emmert-Streib, Frank: Probabilistic inequalities for evaluating structural network measures (2014)
  6. Schutte, Michael; Dehmer, Matthias: Large-scale analysis of structural branching measures (2014)
  7. Dehmer, Matthias; Grabner, Martin; Mowshowitz, Abbe; Emmert-Streib, Frank: An efficient heuristic approach to detecting graph isomorphism based on combinations of highly discriminating invariants (2013)
  8. Netzer, Michael; Kugler, Karl G.; Müller, Laurin A. J.; Weinberger, Klaus M.; Graber, Armin; Baumgartner, Christian; Dehmer, Matthias: A network-based feature selection approach to identify metabolic signatures in disease (2012)