CITATION.cff

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title: >-
  Source code for multivariate multigraph reduction (as part of a repo of utility classes designed for the tulip-python graph library.)
message: >-
  python implementation of a multivariate multigraph
  reduction algorithm, together with several utility classes
  to use the historization capability, as well as the
  on-the-fly recomputation of weights
type: software
authors:
  - given-names: Guy
    family-names: Melançon
    email: guywiz@gmail.com
    orcid: 'https://orcid.org/0000-0003-3193-7261'
repository-code: 'https://github.com/guywiz/PyTulip/'
abstract: >-
  Concerning the multivariate multigraph reduction
  algorithm: The algorithm processes a multivariate
  multigraph (MMG), that is a graph with multiple weighted
  edges, where nodes and edges of various types (weights
  typically depend on types). Assume some nodes are of type
  "PERSON". The algorithm outputs a weighted social network
  between persons of the MMG. Although non-deterministic,
  the social network it computes is unique. The computation
  of weights is historicized: edges of the social network
  hold an arithmetic expression computed along the reduction
  of the MMG, allowing to recompute weights on-the-fly
  (varying weights associated to types in the MMG).
keywords:
  - >-
    Multivariate multigraph, graph reduction, graph
    rewriting, social network