6 papers
Modeling Tripartite Hyperevents in Scientific Collaboration Networks
Amin Gino Fabbrucci Barbagli, Jürgen Lerner, Viviana Amati +1
Sociological research has framed collective action in science, innovation, and culture as tripartite networks connecting teams of actors, lists of prior works, and sets of labels (…
A density-based framework for community detection in attributed networks
Sara Geremia, Michael Fop, Domenico De Stefano
Community structure in social and collaborative networks often emerges from a complex interplay between structural mechanisms, such as degree heterogeneity and leader-driven attrac…
Community-level core-periphery structures in collaboration networks
Sara Geremia, Domenico De Stefano, Michael Fop
Uncovering structural patterns in collaboration networks is key for understanding how knowledge flows and innovation emerges. These networks often exhibit a rich interplay of meso-…
Mapping leadership and communities in EU-funded research through network analysis
Fabio Morea, Alberto Soraci, Domenico De Stefano
Horizon 2020 and Horizon Europe the EU programs supporting research and innovation through collaboration between companies, academic institutions, and research organisations. This…
Beyond One Solution: The Case for a Comprehensive Exploration of Solution Space in Community Detection
Fabio Morea, Domenico De Stefano
This article explores the importance of examining the solution space in community detection, highlighting its role in achieving reliable results when dealing with real-world proble…
Enhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach
Fabio Morea, Domenico De Stefano
Complex data in social and natural sciences find effective representation through networks, wherein quantitative and categorical information can be associated with nodes and connec…