Publications
Publications
E. Cruciani, S. Forster, T. de Vos. Towards Expansion Sensitive Multi-Call Rumor Spreading. DISC 2025. [arXiv]
E. Cruciani, E. L. Giacomelli, J. Lee. On the Convergence of Nonlinear Averaging Dynamics with Three-Body Interactions on Hypergraphs. SIAM Journal on Applied Dynamical Systems (2024). [arXiv]
L. Becchetti, V. Bonifaci, E. Cruciani, F. Pasquale. On a Voter Model with Context-Dependent Opinion Adoption. IJCAI 2023; Extended abstract in AAMAS 2023. [arXiv]
E. Cruciani, H. A. Mimun, M. Quattropani, S. Rizzo. Phase Transition of the k-Majority Dynamics in Biased Communication Models. Distributed Computing (2023); ICDCN 2021; Brief Announcement in DISC 2020. [arXiv]
A. Anagnostopoulos, L. Becchetti, E. Cruciani, F. Pasquale, S. Rizzo. Biased Opinion Dynamics: When the Devil Is in the Details. Information Sciences (2022); IJCAI 2020. [arXiv] [poster]
E. Cruciani, E. Natale, A. Nusser, G. Scornavacca. On the Emergent Behavior of the 2-Choices Dynamics. Short communication in ICTCS 2018.
E. Cruciani, E. Natale, A. Nusser, G. Scornavacca. Phase Transition of the 2-Choices Dynamics on Core-Periphery Networks. Distributed Computing (2021); AAMAS 2018; Extended Abstract in Bulletin of EATCS 125. [arXiv] [code] [poster courtesy of A. Nusser]
E. Cruciani, S. Forster, G. Goranci, Y. Nazari, A. Skarlatos. Dynamic Algorithms for k-center on Graphs. SODA 2024. [arXiv]
L. Becchetti, E. Cruciani, F. Pasquale, S. Rizzo. Step-by-Step Community Detection in Volume-Regular Graphs. Theoretical Computer Science (2020); ISAAC 2019. [arXiv]
E. Cruciani, E. Natale, G. Scornavacca. Distributed Community Detection via Metastability of the 2-Choices Dynamics. AAAI 2019; Extended Abstract in Bulletin of EATCS 125. [arXiv] [poster]
E. Cruciani, R. Verdecchia. Choosing to Be Green: Advancing Green AI via Dynamic Model Selection. Green Aware AI 2025.
R. Verdecchia, E. Cruciani, A. Bertolino, B. Miranda. Energy-Aware Software Testing. ICSE-NIER 2025.
A. Bertolino, E. Cruciani, B. Miranda, R. Verdecchia. Testing Non-Testable Programs Using Association Rules. Short Paper in AST 2022.
R. Verdecchia, E. Cruciani, B. Miranda, A. Bertolino. Know Your Neighbor: Fast Static Prediction of Test Flakiness. IEEE Access (2021). [code]
F. Corò, R. Verdecchia, E. Cruciani, B. Miranda, A. Bertolino. JTeC: A Large Collection of Java Test Classes for Test Code Analysis and Processing. Data Showcase in MSR 2020. [code]
E. Cruciani, B. Miranda, R. Verdecchia, A. Bertolino. Scalable Approaches for Test Suite Reduction. ACM SIGSOFT Distinguished Paper Award. ICSE 2019. [code] [pdf]
B. Miranda, E. Cruciani, R. Verdecchia, A. Bertolino. FAST Approaches to Scalable Similarity-based Test Case Prioritization. ICSE 2018. [code] [pdf] [poster]
M. Abouei Mehrizi, F. Corò, E. Cruciani, G. D'Angelo. Election Control Through Social Influence with Voters’ Uncertainty. Journal of Combinatorial Optimization (2022); COCOON 2020. [arXiv]
M. Abouei Mehrizi, F. Corò, E. Cruciani, G. D'Angelo, S. Ponziani. Models and Algorithms for Election Control through Influence Maximization. Short communication in ICTCS 2019.
F. Corò, E. Cruciani, G. D'Angelo, S. Ponziani. Exploiting Social Influence to Control Elections Based on Scoring Rules. Information and Computation (2022); IJCAI 2019; Extended Abstract in AAMAS 2019. [arXiv] [poster courtesy of F. Corò]
E. Natale, F. D'Amore, E. Cruciani, C. Scornavacca, Y. Assaf, A. Korman, Y. Yovel. Volume and Functional Dependent Convergent Evolution of the Mammalian Brain Connectome.
M. Frigo, E. Cruciani, D. Coudert, R. Deriche, E. Natale, S. Deslauriers-Gauthier. Network Alignment and Similarity Reveal Atlas-based Topological Differences in Structural Connectomes. Network Neuroscience (2021). [code] [hal]
A complete list of publications can be found here.
My publication record can also be checked on the following repositories: DBLP, Google Scholar, ORCiD, Scopus, Web of Science.