Introduction to the Special Section on reloading feature-rich information networks. Guest editorial
2021
Tagarelli, Andrea (ed.) | Gaito, Sabrina (ed.) | Interdonato, Roberto (ed.) | Murata, Tsuyoshi (ed.) | Sala, Alessandra (ed.) | Thai, My T. (ed.)
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.
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