Introduction to the Special Section on reloading feature-rich information networks

Tagarelli Andrea, Gaito Sabrina, Interdonato Roberto, Murata Tsuyoshi, Sala Alessandra, Thai My T.. 2021. Introduction to the Special Section on reloading feature-rich information networks. IEEE Transactions on Network Science and Engineering, 8 (2) : 1256-1258.

Quartile : Q1, Sujet : ENGINEERING, MULTIDISCIPLINARY / Quartile : Q1, Sujet : MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Résumé : The articles in this special section focus on the reloading of feature-rich information networks. The growing availability of multi-facetedrelational data gives rise to unprecedented opportunities for unveiling complex real-world behaviors and phenomena. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the domainspecific environment (e.g., social media platforms, biological environment, geographical location). Examples of feature-rich networks include heterogeneous information networks, multilayer networks, temporal networks, location-aware networks, and probabilistic networks. The aim of the special section is to address challenging issues and emerging trends in feature-rich information networks that can be mined in various domains.

Mots-clés Agrovoc : information, réseaux sociaux

Editeurs scientifiques et affiliations

• Tagarelli Andrea, University of Calabria (ITA)
• Gaito Sabrina, Università degli studi di Milano (ITA)
• Interdonato Roberto, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0002-0536-6277
• Murata Tsuyoshi, Tokyo Institute of Technology (JPN)
• Sala Alessandra
• Thai My T., University of Florida (USA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/605896/)

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