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

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 domain-specific 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.

Bibliographic Details

Main Authors:	Tagarelli, Andrea (ed.), Gaito, Sabrina (ed.), Interdonato, Roberto (ed.), Murata, Tsuyoshi (ed.), Sala, Alessandra (ed.), Thai, My T. (ed.)
Format:	article biblioteca
Language:	eng
Published:	IEEE
Subjects:	C30 - Documentation et information, U10 - Informatique, mathématiques et statistiques, information, gestion de l'information, analyse de données, traitement des données, http://aims.fao.org/aos/agrovoc/c_330966, http://aims.fao.org/aos/agrovoc/c_49838, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_10289,
Online Access:	http://agritrop.cirad.fr/605896/ http://agritrop.cirad.fr/605896/1/ID605896.pdf
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