Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
The bipartite nature of genetic regulatory networks means their logics are composed, which severely restricts which ones can show up in life.
The large-scale structure of the interbank network changes drastically in times of crisis due to the effect of measures from central banks.
Statistical mechanics concepts reconstruct connections between financial institutions and the stock market, despite limited data disclosure.
A new algorithm unveils complicated structures in the bipartite mapping between countries and products of the international trade network.
Less developed countries have to learn simple capabilities in order to start a stable industrialization and development process.
Coupled non-linear maps extract information about the competitiveness of countries to the complexity of their products from trade data.
Network theory finds unexpected interactions between the number of products a country produces and the number of countries producing each product.