Link prediction in evolving heterogeneous networks using the NARX neural networks

A Ozcan, SG Oguducu - Knowledge and Information Systems, 2018 - Springer
In this article, we propose a novel multivariate method for link prediction in evolving
heterogeneous networks using a Nonlinear Autoregressive Neural Network with External …

Research impact in co-authorship networks: A two-mode analysis

T Dehdarirad, S Nasini - Journal of Informetrics, 2017 - Elsevier
In the context of research collaboration and co-authorship, we studied scholars' scientific
achievements and success, based on their collection of shared publications. By means of a …

An analytic strategy for data processing of multimode networks

VG Genova, G Giordano, G Ragozini… - Advances in Data Analysis …, 2024 - Springer
Complex network data structures are considered to capture the richness of social
phenomena and real-life data settings. Multipartite networks are an example in which …

Analyzing multiplex networks using factorial methods

G Giordano, G Ragozini, MP Vitale - Social Networks, 2019 - Elsevier
Multiplex networks arise when more than one source of relationships exists for a common
set of nodes. Many approaches to deal with this kind of complex network data structure are …

A Three-Way Data Analysis Approach for Analyzing Multiplex Networks

G Ragozini, MP Vitale, G Giordano - … in Data Science: SIS 2017, Florence …, 2019 - Springer
In the present contribution, the use of factorial methods for three-way data is proposed to
visually explore the structure of multiplex networks, that is, in presence of more relationships …

Network Analysis Methods for Classification of Roles

S Gozzo, V Tomaselli - Classification,(Big) Data Analysis and Statistical …, 2018 - Springer
This paper concerns network analysis (NA) methods employed to classify role profiles based
on the measurement and the specification of linking structures among pupils in infant school …