How predictable is technological progress?
D. Farmer, F. Lafond
Research Policy
218 views
#innovation #technology #complexity
Debunking in a world of tribes
F. Zollo, A. Bessi, M. Vicario, G. Caldarelli, L. Shekhtman, S. Havlin, W. Quattrociocchi
PLOS ONE
151 views
#socialnetworks #information #statistics
A multi-Level geographical study of Italian political elections from Twitter data
G. Caldarelli, A. Chessa, F. Pammolli, G. Pompa, M. , M. Riccaboni, G. Riotta
PLOS ONE
16 views
#sentiment #politics #socialmedia
Pathways towards instability in financial networks
M. Bardoscia, S. Battiston, F. Caccioli, G. Caldarelli
Nature Communications
156 views
#finance #systemicrisk #randomgraphs
Serendipity and strategy in rapid innovation
T. Fink, M. Reeves, R. Palma, R. Farr
Nature Communications
374 views
#innovation #strategy #combinatorics
Harnessing serendipity
M. Reeves, T. Fink
Scientific American
115 views
#innovation #strategy #management
The price of complexity in financial networks
S. Battiston, G. Caldarelli, R. May, T. Roukny, J. Stiglitz
Proceedings of the National Academy of Sciences
215 views
#finance #systemicrisk #complexity
The effects of Twitter sentiment on stock price returns
G. Ranco, D. Aleksovski, G. Caldarelli, M. Grčar, I. Mozetič
PLoS ONE
11 views
#sentiment #economics #socialmedia
Photonic Maxwell’s demon
M. Vidrighin, O. Dahlsten, M. Barbieri, M. Kim, V. Vedral, I. Walmsley
Physical Review Letters
118 views
#photonics #quantumtheory #thermodynamics
Searching for great strategies
T. Fink, P. Ghemawat, M. Reeves
Strategy Science
157 views
#strategy #innovation #management
Twitter-based analysis of the dynamics of collective attention to political parties
Y. Eom, M. Puliga, J. Smailović, I. Mozetič, G. Caldarelli
PLoS ONE
6 views
#sentiment #complexsystems #macroeconomics
Web search queries can predict stock market volumes
I. Bordino, S. Battiston, G. Caldarelli, M. Cristelli, A. Ukkonen, I. Weber
PLoS ONE
22 views
#stockmarket #searchengine #sentiment
A new metric for countries’ fitness and products’ complexity
A. Tacchella, M. Cristelli, G. Caldarelli, A. Gabrielli, L. Pietronero
Scientific Reports
129 views
#economics #networks #innovation
117 papers
A new metric for countries’ fitness and products’ complexity
Scientific Reports
2, 723 (2012)
Classical economic theories prescribe specialization of countries industrial production. Inspection of the country databases of exported products shows that this is not the case: successful countries are extremely diversified, in analogy with biosystems evolving in a competitive dynamical environment. The challenge is assessing quantitatively the non-monetary competitive advantage of diversification which represents the hidden potential for development and growth. Here we develop a new statistical approach based on coupled non-linear maps, whose fixed point defines a new metrics for the country Fitness and product Complexity. We show that a non-linear iteration is necessary to bound the complexity of products by the fitness of the less competitive countries exporting them. We show that, given the paradigm of economic complexity, the correct and simplest approach to measure the competitiveness of countries is the one presented in this work. Furthermore our metrics appears to be economically well-grounded.
Physicists make ‘weather forecasts’ for economies
A new metric for countries’ fitness and products’ complexity
Nature, 2015-02-23
A Better Way to Make Economic Forecasts
A new metric for countries’ fitness and products’ complexity
Bloomberg View, 2017-10-01