| Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election | 2 | 0.65 | 2022 |
| Correction to: Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election | 0 | 0.34 | 2022 |
| Variance and Covariance of Distributions on Graphs* | 0 | 0.34 | 2022 |
| Nonlinear Consensus On Networks: Equilibria, Effective Resistance, And Trees Of Motifs | 0 | 0.34 | 2021 |
| RANDOM WALKS ON DENSE GRAPHS AND GRAPHONS | 0 | 0.34 | 2021 |
| Modeling Collective Anticipation and Response on Wikipedia | 0 | 0.34 | 2021 |
| Opinion Dynamics with Multi-body Interactions | 0 | 0.34 | 2020 |
| Rock–paper–scissors dynamics from random walks on temporal multiplex networks | 0 | 0.34 | 2020 |
| Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. | 3 | 0.41 | 2019 |
| Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections | 3 | 0.44 | 2019 |
| RankMerging: A supervised learning-to-rank framework to predict links in large social network | 0 | 0.34 | 2019 |
| Classes of random walks on temporal networks with competing timescales | 1 | 0.36 | 2019 |
| Temporal Sequence of Retweets Help to Detect Influential Nodes in Social Networks | 1 | 0.35 | 2019 |
| Identifying exogenous and endogenous activity in social media. | 0 | 0.34 | 2018 |
| Understanding Complex Systems: From Networks to Optimal Higher-Order Models. | 0 | 0.34 | 2018 |
| Community detection in networks with unobserved edges. | 0 | 0.34 | 2018 |
| Structured networks and coarse-grained descriptions: a dynamical perspective. | 0 | 0.34 | 2018 |
| Multiscale dynamical embeddings of complex networks. | 2 | 0.38 | 2018 |
| Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge. | 0 | 0.34 | 2018 |
| The anatomy of Reddit: An overview of academic research. | 1 | 0.36 | 2018 |
| Modelling structure and predicting dynamics of discussion threads in online boards | 1 | 0.34 | 2018 |
| Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks. | 0 | 0.34 | 2018 |
| Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and Challenges. | 1 | 0.36 | 2018 |
| Relating Modularity Maximization And Stochastic Block Models In Multilayer Networks | 0 | 0.34 | 2018 |
| The many facets of community detection in complex networks. | 7 | 0.51 | 2017 |
| Multiscale Mixing Patterns In Networks | 3 | 0.40 | 2017 |
| Backtracking and Mixing Rate of Diffusion on Uncorrelated Temporal Networks. | 0 | 0.34 | 2017 |
| Different approaches to community detection. | 0 | 0.34 | 2017 |
| Temporal Pattern of (Re)tweets Reveal Cascade Migration. | 1 | 0.35 | 2017 |
| Random walks and diffusion on networks. | 14 | 0.70 | 2016 |
| Graph partitions and cluster synchronization in networks of oscillators. | 10 | 0.61 | 2016 |
| TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. | 23 | 0.83 | 2016 |
| The classical origin of modern mathematics. | 6 | 0.67 | 2016 |
| Input-output relationship in social communications characterized by spike train analysis. | 4 | 0.41 | 2016 |
| What Can Wikipedia Tell Us About the Global or Local Character of Burstiness? | 0 | 0.34 | 2016 |
| Circadian Patterns on Wikipedia Edits. | 0 | 0.34 | 2016 |
| On the origin of burstiness in human behavior: The wikipedia edits case | 1 | 0.36 | 2016 |
| Coupled tensor decomposition: A step towards robust components. | 0 | 0.34 | 2016 |
| Using Higher-Order Markov Models To Reveal Flow-Based Communities In Networks | 2 | 0.38 | 2016 |
| Topological Properties and Temporal Dynamics of Place Networks in Urban Environments. | 14 | 0.72 | 2015 |
| Mining open datasets for transparency in taxi transport in metropolitan environments | 5 | 0.61 | 2015 |
| Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks | 51 | 1.87 | 2015 |
| OpenStreetCab: Exploiting Taxi Mobility Patterns in New York City to Reduce Commuter Costs. | 2 | 0.53 | 2015 |
| Predicting links in ego-networks using temporal information. | 36 | 1.30 | 2015 |
| RankMerging: Apprentissage supervisé de classements pour la prédiction de liens dans les grands réseaux sociaux. | 0 | 0.34 | 2015 |
| Imperfect diffusion on temporal networks | 2 | 0.37 | 2015 |
| Temporal Pattern of Communication Spike Trains in Twitter: How Often, Who Interacts with Whom? | 1 | 0.35 | 2015 |
| Respondent-driven sampling bias induced by clustering and community structure in social networks. | 0 | 0.34 | 2015 |
| Steady state and mean recurrence time for random walks on stochastic temporal networks. | 4 | 0.43 | 2014 |
| RankMerging: Learning-to-rank in large-scale social networks (extended version). | 1 | 0.38 | 2014 |
