1. Danilo Delpini, Stefano Battiston, Massimo Riccaboni, Giampaolo Gabbi, Fabio Pammolli and Guido Caldarelli. Evolution of Controllability in Interbank Networks. SCIENTIFIC REPORTS 3, April 2013. DOI BibTeX

    @article{ISI:000317331200003,
    	abstract = "The Statistical Physics of Complex Networks has recently provided new theoretical tools for policy makers. Here we extend the notion of network controllability to detect the financial institutions, i.e. the drivers, that are most crucial to the functioning of an interbank market. The system we investigate is a paradigmatic case study for complex networks since it undergoes dramatic structural changes over time and links among nodes can be observed at several time scales. We find a scale-free decay of the fraction of drivers with increasing time resolution, implying that policies have to be adjusted to the time scales in order to be effective. Moreover, drivers are often not the most highly connected ``hub{\{}''{\}} institutions, nor the largest lenders, contrary to the results of other studies. Our findings contribute quantitative indicators which can support regulators in developing more effective supervision and intervention policies.",
    	author = "Delpini, Danilo and Battiston, Stefano and Riccaboni, Massimo and Gabbi, Giampaolo and Pammolli, Fabio and Caldarelli, Guido",
    	doi = "10.1038/srep01626",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "apr",
    	title = "{Evolution of Controllability in Interbank Networks}",
    	volume = 3,
    	year = 2013
    }
    
  2. Tarik Roukny, Hugues Bersini, Hugues Pirotte, Guido Caldarelli and Stefano Battiston. Default Cascades in Complex Networks: Topology and Systemic Risk. Scientific Reports 3:1–31, September 2013. URL, DOI BibTeX

    @article{roukny2013default,
    	abstract = "The recent crisis has brought to the fore a crucial question that remains still open: what would be the optimal architecture of financial systems? We investigate the stability of several benchmark topologies in a simple default cascading dynamics in bank networks. We analyze the interplay of several crucial drivers, i.e., network topology, banks' capital ratios, market illiquidity, and random vs targeted shocks. We find that, in general, topology matters only – but substantially – when the market is illiquid. No single topology is always superior to others. In particular, scale-free networks can be both more robust and more fragile than homogeneous architectures. This finding has important policy implications. We also apply our methodology to a comprehensive dataset of an interbank market from 1999 to 2011. T he impact of network topology on systemic risk is a central topic of the science of complex networks 1,2 , not only because of its theoretical interest, but also because of its many empirical applications, for instance on infrastructure networks 3 and financial systems 4 . In a cascading dynamics, some network nodes are assumed to fail at the beginning of the process. Their failures increase the load (or the level of distress) of the neighboring nodes. When this load at a node exceeds its threshold (i.e. its individual robustness) the node fails, possibly triggering a cascade. This type of propagation dynamics has been applied to a variety of social and economic contexts 5,6",
    	author = "Roukny, Tarik and Bersini, Hugues and Pirotte, Hugues and Caldarelli, Guido and Battiston, Stefano",
    	doi = "10.1038/srep02759",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Roukny et al/Scientific reports/Roukny et al. - 2013 - Default cascades in complex networks topology and systemic risk.pdf:pdf",
    	issn = "2045-2322",
    	journal = "Scientific Reports",
    	language = "en",
    	month = "sep",
    	pages = "1--31",
    	publisher = "Nature Publishing Group",
    	title = "{Default Cascades in Complex Networks: Topology and Systemic Risk}",
    	url = "http://www.nature.com/srep/2013/130926/srep02759/full/srep02759.html",
    	volume = 3,
    	year = 2013
    }
    
  3. Matthieu Cristelli, Andrea Gabrielli, Andrea Tacchella, Guido Caldarelli and Luciano Pietronero. Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products. PLoS ONE 8(8), 2013. BibTeX

    @article{Cristelli2013a,
    	abstract = "We investigate a recent methodology we have proposed to extract valuable information on the competitiveness of countries and complexity of products from trade data. Standard economic theories predict a high level of specialization of countries in specific industrial sectors. However, a direct analysis of the official databases of exported products by all countries shows that the actual situation is very different. Countries commonly considered as developed ones are extremely diversified, exporting a large variety of products from very simple to very complex. At the same time countries generally considered as less developed export only the products also exported by the majority of countries. This situation calls for the introduction of a non-monetary and non-income-based measure for country economy complexity which uncovers the hidden potential for development and growth. The statistical approach we present here consists of coupled non-linear maps relating the competitiveness/fitness of countries to the complexity of their products. The fixed point of this transformation defines a metrics for the fitness of countries and the complexity of products. We argue that the key point to properly extract the economic information is the non-linearity of the map which is necessary to bound the complexity of products by the fitness of the less competitive countries exporting them. We present a detailed comparison of the results of this approach directly with those of the Method of Reflections by Hidalgo and Hausmann, showing the better performance of our method and a more solid economic, scientific and consistent foundation.",
    	author = "Cristelli, Matthieu and Gabrielli, Andrea and Tacchella, Andrea and Caldarelli, Guido and Pietronero, Luciano",
    	journal = "PLoS ONE",
    	number = 8,
    	title = "{Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products}",
    	volume = 8,
    	year = 2013
    }
    
  4. Diego Garlaschelli, Sebastian E Ahnert, Thomas M A Fink and Guido Caldarelli. Low-Temperature Behaviour of Social and Economic Networks. Entropy 15(8):3148–3169, August 2013. URL, DOI BibTeX

    @article{Garlaschelli2013a,
    	abstract = "Real-world social and economic networks typically display a number of particular topological properties, such as a giant connected component, a broad degree distribution, the small-world property and the presence of communities of densely interconnected nodes. Several models, including ensembles of networks, also known in social science as Exponential Random Graphs, have been proposed with the aim of reproducing each of these properties in isolation. Here, we define a generalized ensemble of graphs by introducing the concept of graph temperature, controlling the degree of topological optimization of a network. We consider the temperature-dependent version of both existing and novel models and show that all the aforementioned topological properties can be simultaneously understood as the natural outcomes of an optimized, low-temperature topology. We also show that seemingly different graph models, as well as techniques used to extract information from real networks are all found to be particular low-temperature cases of the same generalized formalism. One such technique allows us to extend our approach to real weighted networks. Our results suggest that a low graph temperature might be a ubiquitous property of real socio-economic networks, placing conditions on the diffusion of information across these systems. {\textcopyright} 2013 by the authors.",
    	archiveprefix = "arXiv",
    	arxivid = "cond-mat/0606805",
    	author = "Garlaschelli, Diego and Ahnert, Sebastian E. and Fink, Thomas M A and Caldarelli, Guido",
    	doi = "10.3390/e15083238",
    	eprint = 0606805,
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Garlaschelli et al/Entropy/Garlaschelli et al. - 2013 - Low-Temperature Behaviour of Social and Economic Networks.pdf:pdf",
    	issn = "1099-4300",
    	journal = "Entropy",
    	keywords = "Complex networks,Graph ensembles,Graph temperature",
    	month = "aug",
    	number = 8,
    	pages = "3148--3169",
    	primaryclass = "cond-mat",
    	title = "{Low-Temperature Behaviour of Social and Economic Networks}",
    	url = "http://www.mdpi.com/1099-4300/15/8/3148/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84884188844{\&}partnerID=tZOtx3y1",
    	volume = 15,
    	year = 2013
    }
    
  5. Andrea Tacchella, Matthieu Cristelli, Guido Caldarelli, Andrea Gabrielli and Luciano Pietronero. Economic complexity: Conceptual grounding of a new metrics for global competitiveness. Journal of Economic Dynamics and Control, 2013. BibTeX

    @article{tacchella2013economic,
    	author = "Tacchella, Andrea and Cristelli, Matthieu and Caldarelli, Guido and Gabrielli, Andrea and Pietronero, Luciano",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Tacchella et al/Journal of Economic Dynamics and Control/Tacchella et al. - 2013 - Economic complexity Conceptual grounding of a new metrics for global competitiveness.pdf:pdf",
    	journal = "Journal of Economic Dynamics and Control",
    	publisher = "North-Holland",
    	title = "{Economic complexity: Conceptual grounding of a new metrics for global competitiveness}",
    	year = 2013
    }
    
  6. Nicolò Musmeci, Stefano Battiston, Guido Caldarelli, Michelangelo Puliga and Andrea Gabrielli. Bootstrapping topological properties and systemic risk of complex networks using the fitness model. Journal of Statistical Physics 151(3-4):1–15, March 2013. URL, DOI BibTeX

    @article{musmeci2013bootstrapping,
    	author = "Musmeci, Nicol{\`{o}} and Battiston, Stefano and Caldarelli, Guido and Puliga, Michelangelo and Gabrielli, Andrea",
    	doi = "10.1007/s10955-013-0720-1",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Musmeci et al/Journal of Statistical Physics/Musmeci et al. - 2013 - Bootstrapping topological properties and systemic risk of complex networks using the fitness model.pdf:pdf",
    	issn = "0022-4715",
    	journal = "Journal of Statistical Physics",
    	month = "mar",
    	number = "3-4",
    	pages = "1--15",
    	publisher = "Springer US",
    	title = "{Bootstrapping topological properties and systemic risk of complex networks using the fitness model}",
    	url = "http://link.springer.com/10.1007/s10955-013-0720-1",
    	volume = 151,
    	year = 2013
    }
    
  7. Stefano Battiston, Guido Caldarelli, Co-Pierre Georg, Robert May and Joseph Stiglitz. Complex derivatives. Nature Physics 9(3):123–125, March 2013. URL, DOI BibTeX

    @article{battiston2013complex,
    	author = "Battiston, Stefano and Caldarelli, Guido and Georg, Co-Pierre and May, Robert and Stiglitz, Joseph",
    	doi = "10.1038/nphys2575",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Battiston et al/Nature Physics/Battiston et al. - 2013 - Complex derivatives.pdf:pdf",
    	issn = "1745-2473",
    	journal = "Nature Physics",
    	month = "mar",
    	number = 3,
    	pages = "123--125",
    	publisher = "Nature Publishing Group",
    	title = "{Complex derivatives}",
    	url = "http://www.nature.com/doifinder/10.1038/nphys2575",
    	volume = 9,
    	year = 2013
    }
    
  8. Guido Caldarelli, Alessandro Chessa, Fabio Pammolli, Andrea Gabrielli and Michelangelo Puliga. Reconstructing a credit network. Nature Physics 9(3):125–126, 2013. BibTeX

    @article{caldarelli2013reconstructing,
    	author = "Caldarelli, Guido and Chessa, Alessandro and Pammolli, Fabio and Gabrielli, Andrea and Puliga, Michelangelo",
    	journal = "Nature Physics",
    	number = 3,
    	pages = "125--126",
    	publisher = "Nature Publishing Group",
    	title = "{Reconstructing a credit network}",
    	volume = 9,
    	year = 2013
    }
    
  9. Guido Caldarelli, Alessandro Chessa, Irene Crimaldi and Fabio Pammolli. Weighted networks as randomly reinforced urn processes. Physical Review E 87(2):020106, February 2013. URL, DOI BibTeX

    @article{caldarelli2014weighted,
    	author = "Caldarelli, Guido and Chessa, Alessandro and Crimaldi, Irene and Pammolli, Fabio",
    	doi = "10.1103/PhysRevE.87.020106",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Caldarelli et al/Physical Review E/Caldarelli et al. - 2013 - Weighted networks as randomly reinforced urn processes.pdf:pdf",
    	issn = "1539-3755",
    	journal = "Physical Review E",
    	month = "feb",
    	number = 2,
    	pages = 020106,
    	title = "{Weighted networks as randomly reinforced urn processes}",
    	url = "http://link.aps.org/doi/10.1103/PhysRevE.87.020106",
    	volume = 87,
    	year = 2013
    }