Publications
The Effect of People Recommenders on Echo Chambers and Polarization
Proceedings of the International AAAI Conference on Web and Social Media 16 (2022)
The evolving causal structure of equity risk factors
ICAIF '21: Proceedings of the Second ACM International Conference on AI in Finance 5 (2022)
Dense and well-connected subgraph detection in dual networks
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM) (2022)
FreSCo: Mining Frequent Patterns in Simplicial Complexes
WWW '22: Proceedings of the ACM Web Conference (2022)
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
WWW '22: Proceedings of the ACM Web Conference 2022 (2022)
From Reddit to Wall Street: the role of committed minorities in financial collective action
Royal Society Open Science 9:211488 (2022)
Multi-relation Graph Summarization
Proceedings ACM Transactions on Knowledge Discovery from Data 16, 5/ Art. n°82 (2022)
Relaxed Formulations
Synthesis Lectures on Data Mining and Knowledge Discovery book series (SLDMKD) Correlation Clustering, chap. 3 (2022)
Conclusions and Open Problems
Synthesis Lectures on Data Mining and Knowledge Discovery book series (SLDMKD) Correlation Clustering, chap. 6 (2022)
Correlation Clustering
Synthesis Lectures on Data Mining and Knowledge Discovery Vol. 12, No. 1 (2022)
Constraints
Synthesis Lectures on Data Mining and Knowledge Discovery book series (SLDMKD) Correlation Clustering, chap. 2 (2022)
Other Types of Graphs
Synthesis Lectures on Data Mining and Knowledge Discovery book series (SLDMKD) Correlation Clustering, chap. 4 (2022)
Other Computational Settings
Synthesis Lectures on Data Mining and Knowledge Discovery book series (SLDMKD) Correlation Clustering, chap. 5 (2022)
Fair Top-k Ranking with multiple protected groups
Information Processing & Management 59 (1) (2022)
Bridging LGBT+ Content Gaps Across Wikipedia Language Editions
The International Journal of Information, Diversity, & Inclusion 5 (4) (2021)
Uncovering the Limits of Text-based Emotion Detection
EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
Emotion-Core: An Open Source framework for emotion detection research
Software Impacts 10 (2021)
Impact of data accuracy on the evaluation of COVID-19 mitigation policies
Data & Policy 3: e28 (2021)
Learning Ideological Embeddings from Information Cascades
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (2021)
Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact
PLoS Computational Biology 17(10): e1009326 (2021)
Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track (2021)
The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout
PLoS Computational Biology 17(9): e1009346 (2021)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track (2021)
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
Triangle-aware Spectral Sparsifiers and Community Detection
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
Counterfactual Graphs for Explainable Classification of Brain Networks
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods
Journal of the Royal Society Interface 18, 181 (2021)
Forecast of Distributed Energy Generation and Consumption in a Partially Observable Electrical Grid: A Machine Learning Approach
2021 IEEE Madrid PowerTech (2021)
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (2021)
DeepWalking Backwards: From Embeddings Back to Graphs
Proceedings of the 38th International Conference on Machine Learning PMLR 139:1473-1483 (2021)
FairLens: Auditing black-box clinical decision support systems
Information Processing & Management 58 (5), 102657 (2021)
The Role of Local Content in Wikipedia: A Study on Reader and Editor Engagement
Área Abierta 21/2 (2021)
Prediction of new scientific collaborations through multiplex networks
EPJ Data Science 10:25 (2021)
Discovering Dense Correlated Subgraphs in Dynamic Networks
PAKDD 2021: Advances in Knowledge Discovery and Data Mining (2021)
Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems 179 (2021)
Predicting corporate credit risk: Network contagion via trade credit
PLoS ONE 16(4): e0250115 (2021)
Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum
PLoS Computational Biology 17(4): e1008919 (2021)
TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs
ACM Transactions on Knowledge Discovery from Data 15, 3 (2021)
Efficient Probabilistic Truss Indexing on Uncertain Graphs
WWW ’21: Proceedings of the Web Conference 2021 (2021)
Developing Annotated Resources for Internal Displacement Monitoring
Companion Proceedings of the Web Conference 2021 (WWW ’21 Companion) (2021)
MISINFO 2021: Workshop on Misinformation Integrity in Social Networks
30th ACM The Web Conference 2021 (Ljubljana, Slovenia) (2021)
STruD: Truss Decomposition of Simplicial Complexes
WWW '21: Proceedings of The Web Conference 2021 (2021)
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
PeerJ Computer Science 7:e479 (2021)
On the interplay between educational attainment and nutrition: a spatially-aware perspective
EPJ Data Science 10, 18 (2021)
Modeling partial lockdowns in multiplex networks using partition strategies
Applied Network Science 6/27 (2021)
WoMG: A Library for Word-of-Mouth Cascades Generation
Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM '21) (2021)
The echo chamber effect on social media
PNAS Proceedings of the National Academy of Sciences 118 (9) e2023301118 (2021)
Shortest paths and centrality in uncertain networks
Proceedings of the VLDB Endowment 14, 7 (2021)
Mining Dense Subgraphs with Similar Edges
ECML PKDD 2020: Machine Learning and Knowledge Discovery in Databases (2021)
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Ethics and Information Technology (2021)
No echo in the chambers of political interactions on Reddit
Scientific Reports 11, 2818 (2021)
Emergence of Polarized Ideological Opinions in Multidimensional Topic Spaces
Physical Review X 11, 011012 (2021)
Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
JMIR - Journal of Medical Internet Research 23(1):e21212 (2021)
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) (2020)
Adaptive Community Search in Dynamic Networks
2020 IEEE International Conference on Big Data (Big Data) (2020)
Node Embeddings and Exact Low-Rank Representations of Complex Networks
34th Conference on Neural Information Processing Systems (NeurIPS 2020) (2020)
Link prediction in multiplex networks via triadic closure
Physical Review Research 2, 4 (2020)
Measuring nestedness: A comparative study of the performance of different metrics
Ecology and Evolution (2020)
A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China
Chaos, Solitons & Fractals 139 (2020)
Explainable Classification of Brain Networks via Contrast Subgraphs
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ACM, August 23-27, 2020, San Diego, CA, USA (2020)
Generating Realistic Interest-Driven Information Cascades
Proceedings of The 14th International AAAI Conference on Web and Social Media (ICWSM 2020) ©AAAI, June 8-11, 2020, Atlanta, Georgia, USA (2020)
Learning Opinion Dynamics From Social Traces
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2020) ©ACM, August 23-27, 2020, San Diego, CA, USA (2020)
Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit
Proceedings of the 12th International ACM Conference on Web Science (WebSci '20) (2020)
Query-Efficient Correlation Clustering
WWW '20: Proceedings of The Web Conference 2020 (2020)
FaiRecSys: mitigating algorithmic bias in recommender systems
International Journal of Data Science and Analytics 9 (2020)
Phase transitions in information spreading on structured populations
Nature Physics 16 (5) (2020)
Spectral and localization properties of random bipartite graphs
Chaos, Solitons & Fractals: X 3, 100021 (2020)
Doctor XAI: An ontology-based approach to black-box sequential data classification explanations
Conference on Fairness, Accountability, and Transparency (FAT* 2020) (2020)
Impact of the distribution of recovery rates on disease spreading in complex networks
Physical Review Research 2, 1 013046 (2020)
Centrality anomalies in complex networks as a result of model over-simplification
New Journal of Physics 22, 013043 (2020)
Stable outcomes in modified fractional hedonic games
Autonomous Agents and Multi-Agent Systems 34 (1) (2020)
Quantitative and Ontology-Based Comparison of Explanations for Image Classification
LOD 2019: Machine Learning, Optimization, and Data Science, vol. 11943. Springer, Cham (2020)
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
ACM Transactions on Knowledge Discovery from Data 11 (2020)
Temporal betweenness centrality in dynamic graphs
International Journal of Data Science and Analytics 9 (2020)
Privacy-Preserving Collaborative Prediction using Random Forests
AMIA Summits on Translational Science Proceedings (2019)
Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis
Network Neuroscience 3 (3) (2019)
Visualizing structural balance in signed networks
International Conference on Complex Networks and Their Applications (2019)
Bayesian Stochastic Blockmodeling
Advances in Network Clustering and Blockmodeling Chap. 11 (2019)
Discovering Polarized Communities in Signed Networks
CIKM '19 Proceedings of the 28th ACM International Conference on Information and Knowledge Management (2019)
Modelling Temporal Networks with Markov Chains, Community Structures and Change Points
Temporal Network Theory (2019)
Predicting the Role of Political Trolls in Social Media
CoNLL ’19: Conference on Computational Natural Language Learning (2019)
Quantifying Uncertainty in Online Regression Forests
Journal of Machine Learning Research 20(155) (2019)
Recommending Links to Maximize the Influence in Social Networks
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) (2019)
Analyzing a networked social algorithm for collective selection of representative committees
PLoS One 14 (9): e0222945 (2019)
Network Reconstruction and Community Detection from Dynamics
Physical Review Letters 123, 128301 (2019)
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs
Web Intelligence 17, 3 (2019)
Predicting City Poverty Using Satellite Imagery
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2019)
Coverage Centrality Maximization in Undirected Networks
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1 (2019)
Topological gene expression networks recapitulate brain anatomy and function
Network Neuroscience 3, 3 (2019)
Computing Multipersistence by Means of Spectral Systems
Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation (2019)
Topic Tomographies (TopTom): a visual approach to distill information from media streams
Eurographics Conference on Visualization (EuroVis) 2019 38, 3 (2019)
Distance-generalized Core Decomposition
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)
The Responsibility Challenge for Data
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)
The dynamics of collective social behavior in a crowd controlled game
EPJ Data Science 8: 22 (2019)
Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort
Proceedings of the 2019 World Wide Web Conference (WWW '19) (2019)
Modeling Urban Traffic Data Through Graph-Based Neural Networks
Conference paper - INNS Big Data and Deep Learning conference 1 (2019)
The nested structural organization of the worldwide trade multi-layer network
Scientific Reports 9: 2866 (2019)
Link Prediction via Higher-Order Motif Features
ECMLPKDD '19: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2019)
Distance-Based Community Search (Invited Talk Extended Abstract)
In Proceedings of International Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2019) 11376 (2019)
Topological Data Analysis of Biomedical Big Data
Signal Processing and Machine Learning for Biomedical Big Data. CRC Press, 2018 (2018)
Topology highlights mesoscopic functional equivalence between imagery and perception
International Journal of Phychophysiology 131 S27-S28 (2018)
Summarizing Graphs at Multiple Scales: New Trends
IEEE International Conference on Data Mining (ICDM) 1097-1097 (2018)
Finding events in temporal networks: Segmentation meets densest-subgraph discovery
2018 IEEE International Conference on Data Mining (ICDM) (2018)
Scalable dynamic graph summarization
IEEE Transactions on Knowledge and Data Engineering 32 (2018)
Probabilistic Causal Analysis of Social Influence
CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (2018)
Understanding Network Traffic States using Transfer Learning
21st International Conference on Intelligent Transportation Systems (ITSC) (2018)
Deep Learning for Computer Vision: A practitioner’s viewpoint
Workshop at IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2018)
Consistencies and inconsistencies between model selection and link prediction in networks
Phisical Review E 97, 062316 (2018)
Multiplex Networks - Basic Formalism and Structural Properties
Multiplex Networks (Basic Formalism and Structural Properties) VII, 121 (2018)
Robustness of cultural communities in an open-ended Axelrod’s model
Physica A: Statistical Mechanics and its Applications 509 (2018)
Intergenerational cooperation within the household: a Public Good game with three generations
Review of Economics of the Household (2018)
Analysis of big data in gait biomechanics: current trends and future direction
Journal of medical and biological engineering. 38:2 (2018)
Uncertain Graph Sparsification
IEEE Transactions on Knowledge and Data Engineering (2018)
Conditional Reliability in Uncertain Graphs
IEEE Transactions on Knowledge and Data Engineering (2018)
Influence Maximization in Online Social Networks
WSDM '18 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (2018)
Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic
PLoS Current Influenza 1133 (2009)