Alessandro Vespignani

Orcid: 0000-0003-3419-4205

  • Northeastern University, MOBS Lab, Boston, MA, USA

According to our database1, Alessandro Vespignani authored at least 69 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.



In proceedings 
PhD thesis 


Online presence:



Social AI and the Challenges of the Human-AI Ecosystem.
CoRR, 2023

Deep Bayesian Active Learning for Accelerating Stochastic Simulation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Anatomy of the first six months of COVID-19 vaccination campaign in Italy.
PLoS Comput. Biol., 2022

Multi-fidelity Hierarchical Neural Processes.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Predicting seasonal influenza using supermarket retail records.
PLoS Comput. Biol., 2021

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches.
PLoS Comput. Biol., 2021

Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave.
Nat., 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021

Accelerating Stochastic Simulation with Interactive Neural Processes.
CoRR, 2021

DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting.
CoRR, 2021

Quantifying Uncertainty in Deep Spatiotemporal Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
PLoS Comput. Biol., 2020

Detecting critical slowing down in high-dimensional epidemiological systems.
PLoS Comput. Biol., 2020

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.
CoRR, 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models.
CoRR, 2020

Keynote Speaker: Alessandro Vespignani.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Mapping the physics research space: a machine learning approach.
EPJ Data Sci., 2019

Link transmission centrality in large-scale social networks.
EPJ Data Sci., 2018

Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model.
Proceedings of the 26th International Conference on World Wide Web, 2017

Detecting global bridges in networks.
J. Complex Networks, 2016

Online social networks and offline protest.
EPJ Data Sci., 2015

Enhancing disease surveillance with novel data streams: challenges and opportunities.
EPJ Data Sci., 2015

The dynamic of information-driven coordination phenomena: a transfer entropy analysis.
CoRR, 2015

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Epidemic processes in complex networks.
CoRR, 2014

Host Mobility Drives Pathogen Competition in Spatially Structured Populations.
PLoS Comput. Biol., 2013

The emergence and role of strong ties in time-varying communication networks
CoRR, 2013

Characterizing scientific production and consumption in Physics
CoRR, 2013

Controlling Contagion Processes in Time-Varying Networks.
CoRR, 2013

Digital Epidemiology.
PLoS Comput. Biol., 2012

Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread.
PLoS Comput. Biol., 2012

EPJ Data Sci., 2012

Beating the news using social media: the case study of American Idol.
EPJ Data Sci., 2012

The Twitter of Babel: Mapping World Languages through Microblogging Platforms
CoRR, 2012

Activity driven modeling of dynamic networks
CoRR, 2012

Complex dynamic networks: Tools and methods.
Comput. Networks, 2012

Properties and Evolution of Internet Traffic Networks from Anonymized Flow Data.
ACM Trans. Internet Techn., 2011

Validation of Dunbar's number in Twitter conversations
CoRR, 2011

Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model.
J. Comput. Sci., 2010

Dynamics of person-to-person interactions from distributed RFID sensor networks
CoRR, 2010

Characterizing and modeling the dynamics of online popularity
CoRR, 2010

Traffic in Social Media II: Modeling Bursty Popularity.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Diffusion of scientific credits and the ranking of scientists
CoRR, 2009

Extracting the multiscale backbone of complex weighted networks
CoRR, 2009

K-core decomposition of Internet graphs: hierarchies, self-similarity and measurement biases.
Networks Heterog. Media, 2008

High resolution dynamical mapping of social interactions with active RFID
CoRR, 2008

Ranking web sites with real user traffic.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Decoding the structure of the WWW: A comparative analysis of Web crawls.
ACM Trans. Web, 2007

Epidemic Predictability in Meta-Population Models with Heterogeneous Couplings: the Impact of Disease Parameter Values.
Int. J. Bifurc. Chaos, 2007

WiFi Epidemiology: Can Your Neighbors' Router Make Yours Sick?
CoRR, 2007

The workshop on internet topology (wit) report.
Comput. Commun. Rev., 2007

Network science.
Annu. Rev. Inf. Sci. Technol., 2007

The Role of Geography and Traffic in the Structure of Complex Networks.
Adv. Complex Syst., 2007

Algorithmic Computation and Approximation of Semantic Similarity.
World Wide Web, 2006

Exploring networks with traceroute-like probes: Theory and simulations.
Theor. Comput. Sci., 2006

Topical interests and the mitigation of search engine bias.
Proc. Natl. Acad. Sci. USA, 2006

Decoding the structure of the WWW: facts versus sampling biases
CoRR, 2005

k-core decomposition: a tool for the analysis of large scale Internet graphs
CoRR, 2005

The egalitarian effect of search engines
CoRR, 2005

k-core decomposition: a tool for the visualization of large scale networks
CoRR, 2005

Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams.
Complex., 2005

On the lack of typical behavior in the global Web traffic network.
Proceedings of the 14th international conference on World Wide Web, 2005

Algorithmic detection of semantic similarity.
Proceedings of the 14th international conference on World Wide Web, 2005

Large scale networks fingerprinting and visualization using the k-core decomposition.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A statistical approach to the traceroute-like exploration of networks: theory and simulations
CoRR, 2004

Traffic-Driven Model of the World Wide Web Graph.
Proceedings of the Algorithms and Models for the Web-Graph: Third International Workshop, 2004

Traceroute-Like Exploration of Unknown Networks: A Statistical Analysis.
Proceedings of the Combinatorial and Algorithmic Aspects of Networking, 2004

Internet topology at the router and autonomous system level
CoRR, 2002