Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …

This study presents a novel link prediction model for the analysis and prediction of
collaboration networks in the context of H2020 projects. This model incorporates various …

Understanding and characterizing the processes driving social interactions is one of the
fundamental problems in social network analysis. In this context, link prediction aims to …

Link prediction is the task of evaluating the probability that an edge exists in a network, and it
has useful applications in many domains. Traditional approaches rely on measuring the …

To enhance competitiveness and protect interest, an increasing number of organizations
cooperate on patent applications. Partner selection has attracted much more attention …

Link prediction determines if there is an edge between two unconnected nodes in a complex
network using known information, such as network topology and/or node semantic attributes …

Link prediction is a fundamental problem of data science, which usually calls for unfolding
the mechanisms that govern the micro‐dynamics of networks. In this regard, using features …

Disease comorbidity has been an important topic of research for the last decade. This topic
has become more popular due to the recent outbreak of COVID-19 disease. A comorbid …

Some networks are well-modelled as a multilayer structure in the real world, with
interactions between nodes in numerous layers. For example, users may, have accounts on …

The report below shows how a hotel suggestion system based on the user's location was
implemented. Many methods are utilized to raise the accuracy percentage; numerous …