2020 - Member of Academia Europaea
2020 - Fellow of American Physical Society (APS) Citation For major contributions to understanding the disorder effects in selfsimilar phenomena, particularly in real scalefree networks and in theoretical models
Guido Caldarelli focuses on Complex network, Social media, Financial market, Data science and The Internet. In the subject of general Complex network, his work in Fitness model is often linked to Money market, thereby combining diverse domains of study. His Social media research integrates issues from Social psychology, Misinformation and Advertising.
His study in Financial market is interdisciplinary in nature, drawing from both Volatility and Econometrics. Guido Caldarelli has included themes like Diversification, Fixed point, Competitive advantage and Industrial organization in his Data science study. Guido Caldarelli interconnects Market sentiment and Search engine in the investigation of issues within The Internet.
His main research concerns Complex network, Statistical physics, Theoretical computer science, Econometrics and Systemic risk. His Complex network study focuses on Fitness model in particular. The study incorporates disciplines such as Fractal dimension, Fractal and Scaling in addition to Statistical physics.
The Theoretical computer science study combines topics in areas such as Structure and Bipartite graph. His studies in Econometrics integrate themes in fields like Financial market and Portfolio. Guido Caldarelli studies Systemic risk, focusing on Financial networks in particular.
Guido Caldarelli mainly focuses on Complex network, Financial networks, Systemic risk, Econometrics and Theoretical computer science. His Complex network research is multidisciplinary, incorporating elements of Ecology, Financial contagion, Centrality, Distributed computing and Statistical physics. His Financial networks research is multidisciplinary, relying on both Balance sheet, Network topology, Interbank lending market and Financial system.
His work in Systemic risk covers topics such as Financial economics which are related to areas like Mutual fund. His study looks at the relationship between Econometrics and fields such as Stability, as well as how they intersect with chemical problems. The concepts of his Theoretical computer science study are interwoven with issues in Null and Bipartite graph.
Guido Caldarelli mostly deals with Complex network, Financial networks, Social media, Systemic risk and Advertising. His Complex network research incorporates themes from Centrality, Distributed computing, Statistical physics, Variety and Entropy. His Financial networks research includes elements of Network topology, Actuarial science, Monetary economics and Financial system.
His Social media study incorporates themes from Sentiment analysis and Information exchange. His Systemic risk study combines topics from a wide range of disciplines, such as Balance sheet, Stress test, Valuation and Credit risk. His Advertising study integrates concerns from other disciplines, such as Null model, Discounting and Misinformation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The spreading of misinformation online
Michela Del Vicario;Alessandro Bessi;Fabiana Zollo;Fabio Petroni.
Proceedings of the National Academy of Sciences of the United States of America (2016)
Scale-Free Networks: Complex Webs in Nature and Technology
Guido Caldarelli.
(2007)
Scale-Free networks from varying vertex intrinsic fitness
G. Caldarelli;A. Capocci;P. De Los Rios;P. De Los Rios;M. A. Muñoz.
Physical Review Letters (2002)
DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk
Stefano Battiston;Michelangelo Puliga;Rahul Kaushik;Paolo Tasca.
Scientific Reports (2012)
A network analysis of the Italian overnight money market
Giulia Iori;Giulia De Masi;Ovidiu Vasile Precup;Giampaolo Gabbi;Giampaolo Gabbi.
Journal of Economic Dynamics and Control (2008)
Science vs conspiracy: collective narratives in the age of misinformation.
Alessandro Bessi;Mauro Coletto;George Alexandru Davidescu;Antonio Scala.
PLOS ONE (2015)
Topology of correlation-based minimal spanning trees in real and model markets.
Giovanni Bonanno;Guido Caldarelli;Fabrizio Lillo;Rosario Nunzio Mantegna.
Physical Review E (2003)
Networks of equities in financial markets
G. Bonanno;G. Caldarelli;F. Lillo;S. Micciche.
Research Papers in Economics (2004)
Detecting communities in large networks
Andrea Capocci;Vito D. P. Servedio;Guido Caldarelli;Francesca Colaiori.
Physica A-statistical Mechanics and Its Applications (2005)
Preferential attachment in the growth of social networks: the internet encyclopedia Wikipedia.
Andrea Capocci;Vito D. P. Servedio;Francesca Colaiori;Luciana Buriol;Luciana Buriol.
Physical Review E (2006)
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