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 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.
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 |
Subjects: | information, réseaux sociaux, http://aims.fao.org/aos/agrovoc/c_330966, http://aims.fao.org/aos/agrovoc/c_e64c9a8d, |
Online Access: | http://agritrop.cirad.fr/605896/ http://agritrop.cirad.fr/605896/1/ID605896.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Are you an influencer, or a lurker? Why not both! Understanding alternate, opposite behaviors in complex social network systems
by: Perna, Diego, et al. -
Behind the scenes: Scientific networks driving the operationalization of the Social-Ecological System framework
by: Gomez-Santiz, Faustino, et al. -
Trees as brokers in social networks: Cascades of rights and benefits from a Cultural Keystone Species
by: Djoudi, Houria, et al. -
Topology-driven diversity for targeted influence maximization with application to user engagement in social networks
by: Calió, Antinio, et al. -
Collective and individual interdisciplinarity in a sustainability research group: A social network analysis
by: Locatelli, Bruno, et al.