FairLens: Auditing black-box clinical decision support systems

C. Panigutti, A. Perotti, A. Panisson, P. Bajardi, D. Pedreschi
Information Processing & Management 58 (5), 102657 (2021)

Discovering Dense Correlated Subgraphs in Dynamic Networks

G. Preti, P. Rozenshtein, A. Gionis, Y. Velegrakis
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

C. Berloco, G. De Francisci Morales, D. Frassineti, G. Greco, H. Kumarasinghe, M. Lamieri, E. Massaro, A. Miola, S. Yang
PLoS ONE 16(4): e0250115 (2021)

Developing Annotated Resources for Internal Displacement Monitoring

F. Poletto, Y. Zhang, A. Panisson, Y. Mejova, D. Paolotti, S. Ponserre
Companion Proceedings of the Web Conference 2021 (WWW ’21 Companion) (2021)

Efficient Probabilistic Truss Indexing on Uncertain Graphs

Z. Sun, X. Huang, J. Xu, F. Bonchi
WWW ’21: Proceedings of the Web Conference 2021 (2021)

Modeling partial lockdowns in multiplex networks using partition strategies

A. Plazas, I. Malvestio, M. Starnini, A. Diaz-Guilera
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

M. Cinelli, G. De Francisci Morales, A. Galeazzi, W. Quattrociocchi, M. Starnini
PNAS Proceedings of the National Academy of Sciences 118 (9) e2023301118 (2021)

Shortest paths and centrality in uncertain networks

A. Saha, R. Brokkelkamp, Y. Velaj, A. Khan, F. Bonchi
Proceedings of the VLDB Endowment 14, 7 (2021)

Mining Dense Subgraphs with Similar Edges

P. Rozenshtein, G. Preti, A. Gionis, Y. Velegrakis
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

M. Nanni, G. Andrienko, M. Nanni, A. Barabási, C. Boldrini, F. Bonchi, C. Cattuto, F. Chiaromonte, G. Comandé, M. Conti, M. Coté, V. Dignum, J. Domingo-Ferrer, P. Ferragina, F. Giannotti, R. Guidotti, D. Helbing, K. Kaski, J. Kertesz, S. Lehmann, B. Lepri, P. Lukowicz, S. Matwin, D. MegíasJiménez, A. Monreale, K. Morik, N. Oliver, A. Passarella, A. Passerini, D. Pedreschi, A. Pentland, F. Pianesi, F. Pratesi, S. Rinzivillo, S. Ruggieri, A. Siebes, V. Torra, R. Trasarti, J. van den Hoven, A. Vespignani
Ethics and Information Technology (2021)

Emergence of Polarized Ideological Opinions in Multidimensional Topic Spaces

F. Baumann, P. Lorenz-Spreen, I. M. Sokolov, M. Starnini
Physical Review X 11, 011012 (2021)

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction

L. Bisi, L. Sabbioni, E. Vittori, M. Papini, M. Restelli
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) (2020)

Adaptive Community Search in Dynamic Networks

I. Tsalouchidou, F. Bonchi, R. Baeza-Yates
2020 IEEE International Conference on Big Data (Big Data) (2020)

Node Embeddings and Exact Low-Rank Representations of Complex Networks

S. Chanpuriya, C. Musco, K. Sotiropoulos, C. Tsourakakis
34th Conference on Neural Information Processing Systems (NeurIPS 2020) (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)

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)

Explainable Classification of Brain Networks via Contrast Subgraphs

T. Lanciano, F. Bonchi, A. Gionis
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)

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)

Query-Efficient Correlation Clustering

WWW '20: Proceedings of The Web Conference 2020 (2020)

FaiRecSys: mitigating algorithmic bias in recommender systems

B. Edizel, F. Bonchi, S. Hajian, A. Panisson, T. Tassa
International Journal of Data Science and Analytics 9 (2020)

Phase transitions in information spreading on structured populations

J. Davis, N. Perra, Q. Zhang, Y. Moreno, A. Vespignani
Nature Physics 16 (5) (2020)

Fair-by-design matching

Data Mining and Knowledge Discovery 34 / 4 (2020)

Spectral and localization properties of random bipartite graphs

C. T. Martìnez-Martìnez, J. A. Mendéz-Bermudéz, Y. Moreno, J. J. Pineda-Pineda, J. M. Sigarreta
Chaos, Solitons & Fractals: X 3, 100021 (2020)

Doctor XAI: An ontology-based approach to black-box sequential data classification explanations

C. Panigutti, A. Perotti, D. Pedreschi
Conference on Fairness, Accountability, and Transparency (FAT* 2020) (2020)

Centrality anomalies in complex networks as a result of model over-simplification

L. G. A. Alves, A. Aleta, F. A. Rodrigues, Y. Moreno, L. Amaral
New Journal of Physics 22, 013043 (2020)

Stable outcomes in modified fractional hedonic games

G. Monaco, L. Moscardelli, Y. Velaj
Autonomous Agents and Multi-Agent Systems 34 (1) (2020)

Quantitative and Ontology-Based Comparison of Explanations for Image Classification

V. Ghidini, A. Perotti, R. Schifanella
LOD 2019: Machine Learning, Optimization, and Data Science, vol. 11943. Springer, Cham (2020)

Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications

E. Galimberti, F. Bonchi, F. Gullo, T. Lanciano
ACM Transactions on Knowledge Discovery from Data 11 (2020)

TipTap: Approximate Mining of Frequent k-Subgraph Patterns in Evolving Graphs

M. A. U. Nasir, C. Aslay, G. De Francisci Morales, M. Riondato
ACM Transactions on Knowledge Discovery from Data 1, 1 (2020)

Temporal betweenness centrality in dynamic graphs

I. Tsalouchidou, R. Baeza-Yates, F. Bonchi, K. Liao, T. Sellis
International Journal of Data Science and Analytics 9 (2020)

Privacy-Preserving Collaborative Prediction using Random Forests

I. Giacomelli, S. Jha, R. Kleiman, D. Page, K. Yoon
AMIA Summits on Translational Science Proceedings (2019)

Visualizing structural balance in signed networks

E. Galimberti, C. Madeddu, F. Bonchi, G. Ruffo
International Conference on Complex Networks and Their Applications (2019)

Bayesian Stochastic Blockmodeling

T. D. P. Peixoto
Advances in Network Clustering and Blockmodeling Chap. 11 (2019)

Discovering Polarized Communities in Signed Networks

F. Bonchi, E. Galimberti, A. Gionis, B. Ordozgoiti, G. Ruffo
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

T. D. P. Peixoto, M. Rosvall
Temporal Network Theory (2019)

Focus on multilayer networks

Y. Moreno, M. Perc
New Journal of Physics 22, 010201 (2019)

Predicting the Role of Political Trolls in Social Media

A. Atanasov, G. De Francisci Morales, P. Nakov
CoNLL ’19: Conference on Computational Natural Language Learning (2019)

Quantifying Uncertainty in Online Regression Forests

T. Vasiloudis, G. De Francisci Morales, H. Boström
Journal of Machine Learning Research 20(155) (2019)

Recommending Links to Maximize the Influence in Social Networks

F. Corò, G. D'Angelo, Y. Velaj
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

A. R. Hernández, C. Garcia-Làzaro, E. Brigatti, Y. Moreno
PLoS One 14 (9): e0222945 (2019)

Network Reconstruction and Community Detection from Dynamics

T. D. P. Peixoto
Physical Review Letters 123, 128301 (2019)

Predicting City Poverty Using Satellite Imagery

S. Piaggesi, L. E. Gauvin, M. Tizzoni, C. Cattuto, N. Adler, S. Verhulst, A. Young, R. Price, L. Ferres, A. Panisson
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2019)

Coverage Centrality Maximization in Undirected Networks

G. D' Angelo, M. Olsen, L. Severini
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1 (2019)

Editorial: Topological Neuroscience

P. Expert, L. Lord, M. L. Kringelbach, G. Petri
Network Neuroscience 3, 3 (2019)

Computing Multipersistence by Means of Spectral Systems

A. Guidolin, J. Divasón, A. Romero, F. Vaccarino
Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation (2019)

Topological gene expression networks recapitulate brain anatomy and function

A. Patania, P. Selvaggi, M. Veronese, O. Dipasquale, P. Expert, G. Petri
Network Neuroscience 3, 3 (2019)

Topic Tomographies (TopTom): a visual approach to distill information from media streams

B. Gobbo, D. Balsamo, M. Mauri, P. Bajardi, A. Panisson, P. Ciuccarelli
Eurographics Conference on Visualization (EuroVis) 2019 38, 3 (2019)

Distance-generalized Core Decomposition

F. Bonchi, K. Arijit, L. Severini
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)

The Responsibility Challenge for Data

H. Jagadish, F. Bonchi, T. Eliassi-Rad, L. Getoor, K. Gummadi, J. Stoyanovich
SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data (2019)

Topical alignment in online social systems

F. M. Cardoso, S. Meloni, A. Santanche, Y. Moreno
Frontiers in Physics 7 (2019)

Modeling Urban Traffic Data Through Graph-Based Neural Networks

V. Pinto, A. Perotti, T. Cerquitelli
Conference paper - INNS Big Data and Deep Learning conference 1 (2019)

Multilayer Networks in a Nutshell

Annual Review of Condensed Matter Physics 10 (2019)

The nested structural organization of the worldwide trade multi-layer network

L. G. A. Alves, G. Mangioni, I. Cingolani, F. A. Rodrigues, P. Panzarasa, Y. Moreno
Scientific Reports 9: 2866 (2019)

Link Prediction via Higher-Order Motif Features

G. Abuoda, G. De Francisci Morales, A. Aboulnaga
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)

Topology highlights mesoscopic functional equivalence between imagery and perception

G. Petri, E. Ibañez Marcelo, L. Campioni, A. Phinyomark, E. Santarcangelo
International Journal of Phychophysiology 131 S27-S28 (2018)

Topological Data Analysis of Biomedical Big Data

A. Phinyomark, G. Petri, E. Ibañez Marcelo
Signal Processing and Machine Learning for Biomedical Big Data. CRC Press, 2018 (2018)

Finding events in temporal networks: Segmentation meets densest-subgraph discovery

P. Rozenshtein, F. Bonchi, A. Gionis, M. Sozio, N. Tatti
2018 IEEE International Conference on Data Mining (ICDM) (2018)

Summarizing Graphs at Multiple Scales: New Trends

D. Koutra, J. Vreeken, F. Bonchi
IEEE International Conference on Data Mining (ICDM) 1097-1097 (2018)

Scalable dynamic graph summarization

I. Tsalouchidou, F. Bonchi, G. De Francisci Morales, R. Baeza-Yates
IEEE Transactions on Knowledge and Data Engineering 32 (2018)

Mining (maximal) span-cores from temporal networks

E. Galimberti, C. Cattuto, A. Barrat, F. Gullo, F. Bonchi
CIKM2018 (2018)

Probabilistic Causal Analysis of Social Influence

F. Bonchi, F. Gullo, B. Mishra, D. Ramazzotti
CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (2018)

Understanding Network Traffic States using Transfer Learning

P. Krishnakumari, A. Perotti, V. Pinto, O. Cats, H. Van Lint
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)

A network approach to topic models

M. Gerlach, T. D. P. Peixoto, E. G. Altmann
Science Advances Vol. 4, no. 7 (2018)

Consistencies and inconsistencies between model selection and link prediction in networks

T. Vallès-Català, T. D. P. Peixoto, M. Sales-Pardo, R. Guimerà
Phisical Review E 97, 062316 (2018)

Robustness of cultural communities in an open-ended Axelrod’s model

A. R. Hernández, C. Garcia-Lázaro, E. Brigatti, Y. Moreno
Physica A: Statistical Mechanics and its Applications 509 (2018)

Intergenerational cooperation within the household: a Public Good game with three generations

J. A. Molina, A. Ferrer, J. I. Giménez-Nadal, C. Gracia-Lazaro, P. Moretti, Y. Moreno, A. Sanchez
Review of Economics of the Household (2018)

Recommending links through influence maximization

G. D' Angelo, L. Severini, Y. Velaj
Theoretical Computer Science (2018)

Analysis of big data in gait biomechanics: current trends and future direction

A. Phinyomark, G. Petri, E. Ibañez Marcelo, S.T. Osis, R. Ferber
Journal of medical and biological engineering. 38:2 (2018)

Uncertain Graph Sparsification

P. Parchas, N. Papailiou, D. Papadias, F. Bonchi
IEEE Transactions on Knowledge and Data Engineering (2018)

Conditional Reliability in Uncertain Graphs

A. Khan, F. Bonchi, F. Gullo, A. Nufer
IEEE Transactions on Knowledge and Data Engineering (2018)

Influence Maximization in Online Social Networks

C. Aslay, L. V. Lakshmanan, W. Lu, X. Xiao
WSDM '18 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (2018)

Nonparametric weighted stochastic block models

T. D. P. Peixoto
Phys. Rev. E 97, 012306 (2018)