A Neighborhood Exploration Approach with Multi-start for Extend Generalized Block-modeling
| Autor: | Philippe Michelon, Serigne Gueye, Micheli Knechtel, Luis Satoru Ochi |
|---|---|
| Přispěvatelé: | Avignon Université (AU), Laboratoire Informatique d'Avignon (LIA), Centre d'Enseignement et de Recherche en Informatique - CERI-Avignon Université (AU), Instituto de Computação [Niteroi-Rio de Janeiro] (IC-UFF), Universidade Federal Fluminense [Rio de Janeiro] (UFF) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Theoretical computer science
Applied Mathematics 05 social sciences 050401 social sciences methods Metaheurisitics [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Partition (database) 050105 experimental psychology Clustering Combinatorial optimisation 0504 sociology Discrete Mathematics and Combinatorics A priori and a posteriori 0501 psychology and cognitive sciences Blockmodel Block modeling ComputingMilieux_MISCELLANEOUS Mathematics |
| Zdroj: | Electronic Notes in Discrete Mathematics Electronic Notes in Discrete Mathematics, Elsevier, 2018, 66 (1), pp.63-70. ⟨10.1016/j.endm.2018.03.009⟩ |
| ISSN: | 1571-0653 |
| DOI: | 10.1016/j.endm.2018.03.009⟩ |
| Popis: | Block-modeling is a framework to describe a social network as a small structure. We propose here a Neighborhood Exploration Approach with Multi-start for tackling the Extend Generalized Block-modeling. The Extend Generalized Blockmodeling is the first and most complete model approach: it allows to analyze networks without any a priory knowledge about them. The other models require at least to know the size of the partition (i.e. the number of sub-sets that the partition will contain) and a pre-definition of the ideal models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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