most citedEnhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach

5 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SI2026

Constrained Enumeration Reveals Hidden Optima and Precision-Dependent Degeneracy in Modularity-Based Community Detection

Fabio Morea

Modularity landscapes are often flat near the top: many distinct partitions achieve indistinguishable scores, and repeated runs of heuristic algorithms can still miss accessible op…

cs.SI2026

Partition Space Maps for Community Detection: Visualizing Algorithmic Behaviour and Guiding Search

Fabio Morea

Community-detection methods search over possible partitions of a network, but the structure of this partition space is rarely examined directly. This paper introduces two complemen…

cs.SI2024★ 4 cited

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…

cs.SI2024

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…

cs.SI2024★ 5 cited

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…