Understanding human mobility behaviour
with Andrea Baronchelli (City University London - UK) and Sune Lehmann ( DTU Technical University of Denmark)
In recent year, advanced statistical and mathematical tools and the availability of large-scale data sets tracking human motion (mobile phone records, online location-based social networks, GPS location data on vehicles...) have enabled scientists to investigate certain aspects of human mobility behaviour. I use new datasets to study the interplay between mobility behaviour, social behaviour, and cognition.
PUBLICATIONS:
Evidence for a conserved quantity in Human Mobility
Multi-scale spatio-temporal analysis of human mobility
Live review on spatio-temporal human mobility distributions
Understanding the interplay between social and spatial behaviour
Individual mobility in context: from high resolution trajectories to social behaviour (Thesis)
with Andrea Baronchelli (City University London - UK) and Sune Lehmann ( DTU Technical University of Denmark)
In recent year, advanced statistical and mathematical tools and the availability of large-scale data sets tracking human motion (mobile phone records, online location-based social networks, GPS location data on vehicles...) have enabled scientists to investigate certain aspects of human mobility behaviour. I use new datasets to study the interplay between mobility behaviour, social behaviour, and cognition.
PUBLICATIONS:
Evidence for a conserved quantity in Human Mobility
Multi-scale spatio-temporal analysis of human mobility
Live review on spatio-temporal human mobility distributions
Understanding the interplay between social and spatial behaviour
Individual mobility in context: from high resolution trajectories to social behaviour (Thesis)
Modelling time-varying networks.
with Andrea Baronchelli (City University London - UK) and Nicola Perra (University of Greenwhich)
PUBLICATIONS:
Random walks on activity-driven networks with attractiveness
with Andrea Baronchelli (City University London - UK) and Nicola Perra (University of Greenwhich)
PUBLICATIONS:
Random walks on activity-driven networks with attractiveness
Modelling the cryptocurrency market.
with Andrea Baronchelli, Abeer El Bahrawy (City University London), Anne Kandler (Max Planck Institute), Romualdo Pastor Satorras (Universitat Politecnica de Catalunya)
PUBLICATIONS:
Evolutionary dynamics of the cryptocurrency market
Anticipating cryptocurrency prices using machine learning
Wikipedia and Digital Currencies: Interplay between Collective Attention and Market Performance
with Andrea Baronchelli, Abeer El Bahrawy (City University London), Anne Kandler (Max Planck Institute), Romualdo Pastor Satorras (Universitat Politecnica de Catalunya)
PUBLICATIONS:
Evolutionary dynamics of the cryptocurrency market
Anticipating cryptocurrency prices using machine learning
Wikipedia and Digital Currencies: Interplay between Collective Attention and Market Performance
Revealing latent structures in multiplex network of public transportation
with Laetitia Gauvin (ISI Foundation, Torino - Italy) and Marton Karsai (IXXI Institute, ENS Lyon - France) Traditionally, the underlying organization of transportation systems is represented as a graph, where stations are identified as nodes and links are the transport connections between them. However, a simple graph description is not sufficient to capture the system's structural properties because transportation networks are spatial and multimodal. We focus on the understanding of the underlying structure of public transportation systems by defining a new graph-representation and by finding correlations between stops' connectivity patterns via Non Negative matrix factorization. The latent structures, that are not just determined by the embedding in the geographical space, reveal the existence of origin-destination well-connected areas within a city. My Master's Thesis at ENS User-based representation of time-resolved multimodal public transportation networks (RSOS) |
Spatio-temporal Stochastic Blockmodels for communication data
with Emilio Ferrara and Aram Galstyan (Information Sciences Institute, Marina Del Rey - California)
The goal of this project is to extend the framework of stochastic block-modelling (SBM) to temporally varying networks embedded in space. We define a spatiotemporal SBM and show how it can help to forecast the occurrence of large-scale gathering such as civil unrests in cities, focusing on the analysis of mobile phone calls data generated in Milan (Italy).
with Emilio Ferrara and Aram Galstyan (Information Sciences Institute, Marina Del Rey - California)
The goal of this project is to extend the framework of stochastic block-modelling (SBM) to temporally varying networks embedded in space. We define a spatiotemporal SBM and show how it can help to forecast the occurrence of large-scale gathering such as civil unrests in cities, focusing on the analysis of mobile phone calls data generated in Milan (Italy).
Levy flight strategies in human mental searches
with Andrea Baronchelli (City University London - UK) and Filippo Radicchi (Indiana University Bloomington)
Recent analysis of empirical data [ Radicchi, Baronchelli and Amaral PloS ONE 7 e029910 (2012)] showed that humans adopt Lévy-flight strategies when exploring the bid space in online auctions. A game theoretical model proved that the observed Lévy exponents are nearly optimal, being close to the exponent value that guarantees the maximal economical return to players.