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
7 papers · 1 filter
The Impact Of Noise And Topology On Opinion Dynamics In Social Networks
Samuel Stern, Giacomo Livan
We investigate the impact of noise and topology on opinion diversity in social networks. We do so by extending well-established models of opinion dynamics to a stochastic setting w…
Macroeconomic forecasting through news, emotions and narrative
Sonja Tilly, Markus Ebner, Giacomo Livan
This study proposes a new method of incorporating emotions from newspaper articles into macroeconomic forecasts, attempting to forecast industrial production and consumer prices le…
Detecting anomalous citation groups in journal networks
Sadamori Kojaku, Giacomo Livan, Naoki Masuda
The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more sele…
Upstreamness and downstreamness in input-output analysis from local and aggregate information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Ranking sectors and countries within global value chains is of paramount importance to estimate risks and forecast growth in large economies. However, this task is often non-trivia…
Ranking influential nodes in networks from partial information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of "influence". While the complete and accurate knowledge of the interactions…
Correspondence between temporal correlations in time series, inverse problems, and the Spherical Model
Riccardo Marcaccioli, Giacomo Livan
In this paper we employ methods from Statistical Mechanics to model temporal correlations in time series. We put forward a methodology based on the Maximum Entropy principle to gen…