Une métrique de sélection de variables appliquée à la centralité et à la détection des rôles communautaires

No abstract is available for this paper.

• Publication year

  2017

• Venue

  European Grid Conference

• Publication date

  2017-01-24

• Fields of study

  Not labeled

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• New efficient clustering quality indexes

  2016cited by this paper
• Feature selection and complex networks methods for an analysis of collaboration evolution in science: an application to the ISTEX digital library

  2015cited by this paper
• A community role approach to assess social capitalists visibility in the Twitter network

  2015cited by this paper
• Federating clustering and cluster labelling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering

  2015cited by this paper
• Individual nodeʼs contribution to the mesoscale of complex networks

  2014cited by this paper
• Optimizing text classification through efficient feature selection based on quality metric

  2014cited by this paper
• What is network science?

  2013cited by this paper
• KONECT: the Koblenz network collection

  2013cited by this paper
• Reprint of: The anatomy of a large-scale hypertextual web search engine

  2012cited by this paper
• Characterizing the Community Structure of Complex Networks

  2010cited by this paper
• Benchmark graphs for testing community detection algorithms.

  2008cited by this paper
• Functional cartography of complex metabolic networks

  2005cited by this paper
• Finding and evaluating community structure in networks.

  2003cited by this paper
• The Structure and Function of Complex Networks

  2003cited by this paper
• Centrality in social networks conceptual clarification

  1978cited by this paper

• Automatic summarization of scientific publications using a feature selection approach

  2018cites this paper