283 citations
- University College LondonGB54 papers
- London School of Economics and Political ScienceGB48 papers
- London Mathematical LaboratoryGB13 papers
- King's College LondonGB10 papers
- London Institute for Mathematical SciencesGB7 papers
- University of ZurichCH5 papers
- Eötvös Loránd UniversityHU4 papers
- IMT School for Advanced Studies LuccaIT4 papers
- Institute for Complex SystemsIT4 papers
- Parmenides FoundationDE4 papers
- Complexity Science HubAT3 papers
- Department of Science and TechnologyIN3 papers
8 papers · 1 filter
Offline Biases in Online Platforms: a Study of Diversity and Homophily in Airbnb
Victoria Koh, Weihua Li, Giacomo Livan +1
How diverse are sharing economy platforms? Are they fair marketplaces, where all participants operate on a level playing field, or are they large-scale online aggregators of offlin…
Risk-Neutral Pricing and Hedging of In-Play Football Bets
Sebastian del Bano Rollin, Zsolt Bihari, Tomaso Aste
A risk-neutral valuation framework is developed for pricing and hedging in-play football bets based on modelling scores by independent Poisson processes with constant intensities.…
Asymmetric Network Connectedness of Fears
Jozef Barunik, Mattia Bevilacqua, Radu Tunaru
This paper introduces forward-looking measures of the network connectedness of fears in the financial system, arising due to the good and bad beliefs of market participants about u…
Infectivity Enhances Prediction of Viral Cascades in Twitter
Weihua Li, Skyler J. Cranmer, Zhiming Zheng +1
Models of contagion dynamics, originally developed for infectious diseases, have proven relevant to the study of information, news, and political opinions in online social systems.…
Reciprocity and success in academic careers
Weihua Li, Tomaso Aste, Fabio Caccioli +1
The growing importance of citation-based bibliometric indicators in shaping the prospects of academic careers incentivizes scientists to boost the numbers of citations they receive…
Forecasting market states
Pier Francesco Procacci, Tomaso Aste
We propose a novel methodology to define, analyze and forecast market states. In our approach market states are identified by a reference sparse precision matrix and a vector of ex…