Fiche du document
- handle: 10670/1.ndnlnp
- hal: hal-02169295
- doi: 10.1007/s41109-019-0144-1
- SCIENCESPO: 2441/3jmg2g94kg93h9g1hrlpnqbstd
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1007/s41109-019-0144-1
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/hdl/2441/3jmg2g94kg93h9g1hrlpnqbstd
Sujets proches
Engineering, Mining Mines and mining Mining Deposits, Mineral Mineral deposits Mines and mining Mineral resources Mining Mining industry and finance Metal industries Extractive industries Extractive industry Mines and mining Mining industry MiningCiter ce document
Henry Soldano et al., « Bi-Pattern Mining of Attributed Networks », Archive ouverte de Sciences Po (SPIRE), ID : 10.1007/s41109-019-0144-1
Métriques
Partage / Export
Résumé
Applying closed pattern mining to attributed two-mode networks requires two conditions. First, as in two-mode networks there are two kinds of vertices, each described with a proper attribute set, we have to consider patterns made of two components that we call bi-patterns. The occurrences of a bi-pattern forms an extension made of a pair of vertex subsets. Second, Formal Concept Analysis and Closed Pattern Mining were recently applied to networks by reducing the extensions of pattern to their cores, according to some core definition. We need to consider appropriate core definitions for two-mode networks and define accordingly closed bi-patterns. We describe in this article a general framework to define closed bi-pattern mining. We also show that this methodology applies as well to cores of directed and undirected networks in which each vertex subset is associated with a specific role. We illustrate the methodology first on a two-mode network of epistemological data, then on a directed advice network of lawyers and finally on an undirected bibliographical network.