Individual dynamics
How local structures, nodes and edges, appear and disappear over time, as in link and node prediction.
← Research
Research line
Network Dynamics
Temporal network mining, dynamic community discovery and diffusion processes such as epidemics and opinion dynamics.
Relationships change, links are replaced, collaborations rise and fall: the systems we study are constantly evolving. Freezing a network in time helps describe it, but not to understand the dynamics that drive it.
Temporal network mining works on timestamped interactions, from social exchanges to mobility traces and financial operations. Its goal is to uncover the relations between sequences of events in order to describe and forecast how time-evolving systems behave.
Three families of problems
Collective dynamics
How the mesoscale topology changes as local structures do, as in dynamic community discovery and frequent pattern mining.
Diffusion processes
How epidemics, opinions and information flow on top of static and evolving network structures.
Objectives
- 1
Define novel algorithms to study dynamic network topologies.
- 2
Model diffusive processes, such as epidemics and opinion dynamics, unfolding on complex topologies.
- 3
Understand the feedback loops between topological dynamics and diffusive processes.
Related publications
All publications-
Structure and dynamics of temporal hypergraphs via multi-rooted ego networks
Social Network Analysis and Mining@article{cauteruccio2026structure, title = {Structure and dynamics of temporal hypergraphs via multi-rooted ego networks}, author = {Cauteruccio, Francesco and Citraro, Salvatore and Failla, Andrea and Rossetti, Giulio}, journal = {Social Network Analysis and Mining}, year = {2026}, doi = {10.1007/s13278-026-01603-6}, url = {https://doi.org/10.1007/s13278-026-01603-6}, publisher = {Springer Science+Business Media}, } -
SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
Computers in Human Behavior Reports, 21@article{citraro2026spreadpy, title = {SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks}, author = {Citraro, Salvatore and Haim, Edith and Carini, Alessandra and Siew, Cynthia S. Q. and Rossetti, Giulio and Stella, Massimo.}, journal = {Computers in Human Behavior Reports}, year = {2026}, volume = {21}, pages = {100940--100940}, doi = {10.1016/j.chbr.2026.100940}, url = {https://doi.org/10.1016/j.chbr.2026.100940}, publisher = {Elsevier BV}, } -
Quantifying opinion homophily in online social networks: A bounded confidence perspective
arXiv (Cornell University)@article{luan2026quantifying, title = {Quantifying opinion homophily in online social networks: A bounded confidence perspective}, author = {Luan, Yangyang and Ancona, Camilla and Bernardo, Carmela and Pansanella, Valentina and Iudice, Francesco Lo and Rossetti, Giulio and Vasca, Francesco and Wu, Xiaoqun and Altafini, Claudio}, journal = {arXiv (Cornell University)}, year = {2026}, doi = {10.48550/arxiv.2604.23157}, url = {https://doi.org/10.48550/arxiv.2604.23157}, publisher = {Cornell University}, } -
Network Effects and Agreement Drift in LLM Debates
arXiv (Cornell University)@article{cau2026network, title = {Network Effects and Agreement Drift in LLM Debates}, author = {Cau, Erica and Failla, Andrea and Rossetti, Giulio}, journal = {arXiv (Cornell University)}, year = {2026}, doi = {10.48550/arxiv.2604.11312}, url = {https://doi.org/10.48550/arxiv.2604.11312}, publisher = {Cornell University}, } -
Generalizing Hypergraph Ego-Networks and Their Temporal Stability
In Lecture notes in computer science@incollection{cauteruccio2026generalizing, title = {Generalizing Hypergraph Ego-Networks and Their Temporal Stability}, author = {Cauteruccio, Francesco and Citraro, Salvatore and Failla, Andrea and Rossetti, Giulio}, booktitle = {Lecture notes in computer science}, year = {2026}, pages = {53--67}, doi = {10.1007/978-3-032-13513-1_5}, url = {https://doi.org/10.1007/978-3-032-13513-1_5}, publisher = {Springer Science+Business Media}, } -
Structure, Topics, and Diffusion Effects of Bluesky Starter Packs
arXiv preprint arXiv:2608.17489@article{failla2026starter, title = {Structure, Topics, and Diffusion Effects of Bluesky Starter Packs}, author = {Failla, Andrea and Freitas, V. and Rossetti, Giulio and Ferreira, C.}, journal = {arXiv preprint arXiv:2608.17489}, year = {2026}, } -
Simulating Toxicity Diffusion with Moderation-Aware SEIZ Models
In ECML-PKDD Workshops@inproceedings{pollacci2026toxicity, title = {Simulating Toxicity Diffusion with Moderation-Aware SEIZ Models}, author = {Pollacci, Laura and Milli, Letizia and Rossetti, Giulio and Guidotti, Riccardo}, booktitle = {ECML-PKDD Workshops}, year = {2026}, } -
Structure-Attribute Similarity Interplay in Diffusion Dynamics on Social Networks
In Lecture notes in computer science@incollection{citraro2025structure, title = {Structure-Attribute Similarity Interplay in Diffusion Dynamics on Social Networks}, author = {Citraro, Salvatore and Pansanella, Valentina and Rossetti, Giulio}, booktitle = {Lecture notes in computer science}, year = {2025}, pages = {425--439}, doi = {10.1007/978-3-031-78980-9_27}, url = {https://doi.org/10.1007/978-3-031-78980-9_27}, publisher = {Springer Science+Business Media}, } -
Selective agreement, not sycophancy: investigating opinion dynamics in LLM interactions
EPJ Data Science, 14(1)@article{cau2025selective, title = {Selective agreement, not sycophancy: investigating opinion dynamics in LLM interactions}, author = {Cau, Erica and Pansanella, Valentina and Pedreschi, Dino and Rossetti, Giulio}, journal = {EPJ Data Science}, year = {2025}, volume = {14}, number = {1}, doi = {10.1140/epjds/s13688-025-00579-1}, url = {https://doi.org/10.1140/epjds/s13688-025-00579-1}, publisher = {Springer Nature}, } -
Language-Driven Opinion Dynamics in Agent-Based Simulations with LLMs
arXiv (Cornell University)@article{cau2025language, title = {Language-Driven Opinion Dynamics in Agent-Based Simulations with LLMs}, author = {Cau, Erica and Pansanella, Valentina and Pedreschi, Dino and Rossetti, Giulio}, journal = {arXiv (Cornell University)}, year = {2025}, doi = {10.48550/arxiv.2502.19098}, url = {https://doi.org/10.48550/arxiv.2502.19098}, publisher = {Cornell University}, } -
Bots of a Feather: Mixing Biases in LLMs’ Opinion Dynamics
In Studies in computational intelligence@incollection{cau2025bots, title = {Bots of a Feather: Mixing Biases in LLMs’ Opinion Dynamics}, author = {Cau, Erica and Failla, Andrea and Rossetti, Giulio}, booktitle = {Studies in computational intelligence}, year = {2025}, pages = {166--176}, doi = {10.1007/978-3-031-82439-5_14}, url = {https://doi.org/10.1007/978-3-031-82439-5_14}, publisher = {Springer Nature}, } -
Redefining Event Types and Group Evolution in Temporal Data
arXiv (Cornell University)@article{failla2024redefining, title = {Redefining Event Types and Group Evolution in Temporal Data}, author = {Failla, Andrea and Cazabet, Rémy and Rossetti, Giulio and Citraro, Salvatore}, journal = {arXiv (Cornell University)}, year = {2024}, doi = {10.48550/arxiv.2403.06771}, url = {https://doi.org/10.48550/arxiv.2403.06771}, publisher = {Cornell University}, } -
Describing group evolution in temporal data using multi-faceted events
Machine Learning, 113(10)@article{failla2024describing, title = {Describing group evolution in temporal data using multi-faceted events}, author = {Failla, Andrea and Cazabet, Rémy and Rossetti, Giulio and Citraro, Salvatore}, journal = {Machine Learning}, year = {2024}, volume = {113}, number = {10}, pages = {7591--7615}, doi = {10.1007/s10994-024-06600-4}, url = {https://doi.org/10.1007/s10994-024-06600-4}, publisher = {Springer Science+Business Media}, } -
Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Applied Network Science, 8(31)@article{Failla2023AttributedJ, title = {Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions}, author = {Failla, Andrea and Citraro, Salvatore and Rossetti, Giulio}, journal = {Applied Network Science}, doi = {10.1007/s41109-023-00555-6}, year = {2023}, volume = {8}, number = {31}, publisher = {SpringerOpen}, } -
Mass Media Impact on Opinion Evolution in Biased Digital Environments: a Bounded Confidence Model
Scientific Reports@article{pansanella2023mass, title = {Mass Media Impact on Opinion Evolution in Biased Digital Environments: a Bounded Confidence Model}, author = {Pansanella, Valentina and Sirbu, Alina and Kert{\'e}sz, J{\'a}nos and Rossetti, Giulio}, year = {2023}, journal = {Scientific Reports}, } -
Similar Minds: Modeling Opinion Dynamics with Similarity-Based Influence and Bounded Confidence
In International Conference on Complex Networks and Their Applications@inproceedings{pansanella2023similar, title = {Similar Minds: Modeling Opinion Dynamics with Similarity-Based Influence and Bounded Confidence}, author = {Pansanella, Valentina and Citraro, Salvatore and Rossetti, Giulio}, booktitle = {International Conference on Complex Networks and Their Applications}, year = {2023}, organization = {Springer, Cham}, } -
∆-Conformity: multi-scale node assortativity in feature-rich stream graphs
International Journal of Data Science and Analytics@article{citraro2022delta, title = {$\Delta$-Conformity: multi-scale node assortativity in feature-rich stream graphs}, author = {Citraro, Salvatore and Milli, Letizia and Cazabet, Remy and Rossetti, Giulio}, journal = {International Journal of Data Science and Analytics}, pages = {1--12}, year = {2022}, publisher = {Springer International Publishing}, } -
Attributed Stream-Hypernetwork Analysis: a SocioPatterns Case Study
@article{failla2022attributed, title = {Attributed Stream-Hypernetwork Analysis: a SocioPatterns Case Study}, author = {Failla, Andrea and Citraro, Salvatore and Rossetti, Giulio}, year = {2022}, } -
Modeling algorithmic bias: simplicial complexes and evolving network topologies
Applied Network Science, 7(1)@article{pansanella2022modeling, title = {Modeling algorithmic bias: simplicial complexes and evolving network topologies}, author = {Pansanella, Valentina and Rossetti, Giulio and Milli, Letizia}, journal = {Applied Network Science}, volume = {7}, number = {1}, pages = {1--24}, year = {2022}, publisher = {Springer}, } -
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Journal of Intelligent Information Systems, 57(2)@article{rossetti2021utldr, title = {UTLDR: an agent-based framework for modeling infectious diseases and public interventions}, author = {Rossetti, Giulio and Milli, Letizia and Citraro, Salvatore and Morini, Virginia}, journal = {Journal of Intelligent Information Systems}, volume = {57}, number = {2}, pages = {347--368}, year = {2021}, publisher = {Springer US}, } -
Evaluating community detection algorithms for progressively evolving graphs
Journal of Complex Networks, 8(6)@article{cazabet2021evaluating, title = {Evaluating community detection algorithms for progressively evolving graphs}, author = {Cazabet, Remy and Boudebza, Sou{\^a}ad and Rossetti, Giulio}, journal = {Journal of Complex Networks}, volume = {8}, number = {6}, year = {2021}, } -
From mean-field to complex topologies: network effects on the algorithmic bias model
In International Conference on Complex Networks and Their Applications@inproceedings{pansanella2021mean, title = {From mean-field to complex topologies: network effects on the algorithmic bias model}, author = {Pansanella, Valentina and Rossetti, Giulio and Milli, Letizia}, booktitle = {International Conference on Complex Networks and Their Applications}, pages = {329--340}, year = {2021}, organization = {Springer, Cham}, } -
DynComm: An R Package for Evolving and Dynamic Community Detection in Social Networks
International Journal of Open Source Software and Processes (IJOSSP), 12(4)@article{sarmento2021dyncomm, title = {DynComm: An R Package for Evolving and Dynamic Community Detection in Social Networks}, author = {Sarmento, Rui Portocarrero and Lemos, Lu{\'\i}s and Cordeiro, M{\'a}rio and Rossetti, Giulio and Cardoso, Douglas}, journal = {International Journal of Open Source Software and Processes (IJOSSP)}, volume = {12}, number = {4}, pages = {1--25}, year = {2021}, publisher = {IGI Global}, } -
Angel: efficient, and effective, node-centric community discovery in static and dynamic networks
Applied Network Science@article{rossetti2020angel, title = {Angel: efficient, and effective, node-centric community discovery in static and dynamic networks}, author = {Rossetti, Giulio}, journal = {Applied Network Science}, year = {2020}, publisher = {Springer}, } -
Opinion dynamic modeling of fake news perception
In International Conference on Complex Networks and Their Applications@inproceedings{toccaceli2020opinion, title = {Opinion dynamic modeling of fake news perception}, author = {Toccaceli, Cecilia and Milli, Letizia and Rossetti, Giulio}, booktitle = {International Conference on Complex Networks and Their Applications}, pages = {370--381}, year = {2020}, organization = {Springer, Cham}, } -
DynComm R Package–Dynamic Community Detection for Evolving Networks
arXiv preprint arXiv:1905.01498@article{sarmento2019dyncomm, title = {DynComm R Package--Dynamic Community Detection for Evolving Networks}, author = {Sarmento, Rui Portocarrero and Lemos, Lu{\'\i}s and Cordeiro, M{\'a}rio and Rossetti, Giulio and Cardoso, Douglas}, journal = {arXiv preprint arXiv:1905.01498}, year = {2019}, } -
Community-Aware Content Diffusion: Embeddednes and Permeability
In International Conference on Complex Networks and Their Applications@inproceedings{milli2019community, title = {Community-Aware Content Diffusion: Embeddednes and Permeability}, author = {Milli, Letizia and Rossetti, Giulio}, booktitle = {International Conference on Complex Networks and Their Applications}, pages = {362--371}, year = {2019}, organization = {Springer}, } -
Challenges in community discovery on temporal networks
In Temporal Network Theory@incollection{cazabet2019challenges, title = {Challenges in community discovery on temporal networks}, author = {Cazabet, Remy and Rossetti, Giulio}, booktitle = {Temporal Network Theory}, pages = {181--197}, year = {2019}, publisher = {Springer}, } -
Diffusive phenomena in dynamic networks: a data-driven study
In International Workshop on Complex Networks@inproceedings{milli2018diffusive, title = {Diffusive phenomena in dynamic networks: a data-driven study}, author = {Milli, Letizia and Rossetti, Giulio and Pedreschi, Dino and Giannotti, Fosca}, booktitle = {International Workshop on Complex Networks}, pages = {151--159}, year = {2018}, organization = {Springer}, } -
Community discovery in dynamic networks: a survey
ACM computing surveys (CSUR), 51(2)@article{rossetti2018community, title = {Community discovery in dynamic networks: a survey}, author = {Rossetti, Giulio and Cazabet, Remy}, journal = {ACM computing surveys (CSUR)}, volume = {51}, number = {2}, pages = {1--37}, year = {2018}, publisher = {ACM New York, NY, USA}, } -
Towards the Dynamic Community Discovery in Decentralized Online Social Networks
Journal of Grid Computing@article{guidi2018towards, title = {Towards the Dynamic Community Discovery in Decentralized Online Social Networks}, author = {Guidi, Barbara and Michienzi, Andrea and Rossetti, Giulio}, journal = {Journal of Grid Computing}, pages = {1--22}, year = {2018}, publisher = {Springer}, } -
Active and passive diffusion processes in complex networks
Applied network science, 3(1)@article{milli2018active, title = {Active and passive diffusion processes in complex networks}, author = {Milli, Letizia and Rossetti, Giulio and Pedreschi, Dino and Giannotti, Fosca}, journal = {Applied network science}, volume = {3}, number = {1}, pages = {1--15}, year = {2018}, publisher = {SpringerOpen}, } -
Dynamic Community Detection
In Encyclopedia of Social Network Analysis and Mining@incollection{cazabet2017dynamic, title = {Dynamic Community Detection}, author = {Cazabet, Remy and Rossetti, Giulio and Amblard, Frederic}, booktitle = {Encyclopedia of Social Network Analysis and Mining}, pages = {1--10}, year = {2017}, } -
Dynamic Community Analysis in Decentralized Online Social Networks
In International European Conference on Parallel and Distributed Computing (Euro-Par), LSDVE Workshop@inproceedings{guidi2017dynamic, title = {Dynamic Community Analysis in Decentralized Online Social Networks}, author = {Guidi, Barbara and Michienzi, Andrea and Rossetti, Giulio}, booktitle = {International European Conference on Parallel and Distributed Computing (Euro-Par), LSDVE Workshop}, year = {2017}, } -
RDYN: graph benchmark handling community dynamics
Journal of Complex Networks@article{rossetti2017rdyn, title = {RDYN: graph benchmark handling community dynamics}, author = {Rossetti, Giulio}, journal = {Journal of Complex Networks}, year = {2017}, } -
NDlib: Studying Network Diffusion Dynamics
In IEEE International Conference on Data Science and Advanced Analytics@inproceedings{rossetti2017ndlibc, title = {NDlib: Studying Network Diffusion Dynamics}, author = {Rossetti, Giulio and Milli, Letizia and Rinzivillo, Salvatore and Sirbu, Alina and Pedreschi, Dino and Giannotti, Fosca}, booktitle = {IEEE International Conference on Data Science and Advanced Analytics}, year = {2017}, } -
Information Diffusion in Complex Networks: The Active/Passive Conundrum
In Complex Networks & Their Applications@inproceedings{milli2017information, title = {Information Diffusion in Complex Networks: The Active/Passive Conundrum}, author = {Milli, Letizia and Rossetti, Giulio and Pedreschi, Dino and Giannotti, Fosca}, booktitle = {Complex Networks \& Their Applications}, year = {2017}, } -
Node-Centric Community Discovery: from Static to Dynamic Social Network Analysis
Online Social Networks and Media@article{rossetti2017node, title = {Node-Centric Community Discovery: from Static to Dynamic Social Network Analysis}, author = {Rossetti, Giulio and Pedreschi, Dino and Giannotti, Fosca}, journal = {Online Social Networks and Media}, year = {2017}, } -
Forecasting success via early adoptions analysis: A data-driven study
PloS one, 12(12)@article{rossetti2017forecasting, title = {Forecasting success via early adoptions analysis: A data-driven study}, author = {Rossetti, Giulio and Milli, Letizia and Giannotti, Fosca and Pedreschi, Dino}, journal = {PloS one}, volume = {12}, number = {12}, pages = {e0189096}, year = {2017}, publisher = {Public Library of Science San Francisco, CA USA}, } -
NDlib: a python library to model and analyze diffusion processes over complex networks
International Journal of Data Science and Analytics@article{rossetti2017ndlib, title = {NDlib: a python library to model and analyze diffusion processes over complex networks}, author = {Rossetti, Giulio and Milli, Letizia and Rinzivillo, Salvatore and Sirbu, Alina and Pedreschi, Dino and Giannotti, Fosca}, journal = {International Journal of Data Science and Analytics}, year = {2017}, publisher = {Springer International Publishing}, } -
Tiles: an online algorithm for community discovery in dynamic social networks
Machine Learning@article{rossetti2016tiles, title = {Tiles: an online algorithm for community discovery in dynamic social networks}, author = {Rossetti, Giulio and Pappalardo, Luca and Pedreschi, Dino and Giannotti, Fosca}, journal = {Machine Learning}, pages = {1--29}, year = {2016}, } -
A Supervised Approach for Intra-/Inter-Community Interaction Prediction in Dynamic Social Networks
Social Network Analysis and Mining, 6(86)@article{rossetti2016supervised, title = {A Supervised Approach for Intra-/Inter-Community Interaction Prediction in Dynamic Social Networks}, author = {Rossetti, Giulio and Guidotti, Riccardo and Miliou, Ioanna and Pedreschi, Dino and Giannotti, Fosca}, journal = {Social Network Analysis and Mining}, volume = {6}, number = {86}, year = {2016}, publisher = {Springer}, } -
Interaction Prediction in Dynamic Networks exploiting Community Discovery
In International conference on Advances in Social Network Analysis and Mining (ASONAM 2015)@inproceedings{rossetti2015interaction, title = {Interaction Prediction in Dynamic Networks exploiting Community Discovery}, author = {Rossetti, Giulio and Guidotti, Riccardo and Pennacchioli, Diego and Pedreschi, Dino and Giannotti, Fosca}, booktitle = {International conference on Advances in Social Network Analysis and Mining (ASONAM 2015)}, year = {2015}, } -
The patterns of musical influence on the Last. Fm social network.
In SEBD@inproceedings{pennacchioli2014patterns, title = {The patterns of musical influence on the Last. Fm social network.}, author = {Pennacchioli, Diego and Rossetti, Giulio and Pappalardo, Luca and Pedreschi, Dino and Giannotti, Fosca and Coscia, Michele}, booktitle = {SEBD}, pages = {284--291}, year = {2014}, }