1. A Chessa, G Caldarelli, A Damiano and A Scala. {Integrating the electric grid and the commuter network through a “Vehicle to Grid{”} concept: a Complex Networks Theory approach}. In 2014 IEEE INTERNATIONAL ELECTRIC VEHICLE CONFERENCE (IEVC). 2014. BibTeX

    @inproceedings{ISI:000380394300045,
    	abstract = "The new opportunities in the energy production, storage and distribution, raise new systemic challenges in the coordination and integration of each element in the infrastructural networks, considering also the unavoidable environmental constraints. In this `multi-network' scenario an exciting prospective is to develop the so-called vehicle-to-grid concept to introduce a positive coupling between the electric grid and the commuter network. The present research will use concepts and tools borrowed from the scientific field of Complex Networks, to understand the infrastructures' interplay in the perspective of modeling, simulating and possibly controlling the systemic risk.",
    	annote = "2014 IEEE International Electric Vehicle Conference (IEVC), Florence, ITALY, DEC 17-19, 2014",
    	author = "Chessa, A and Caldarelli, G and Damiano, A and Scala, A",
    	booktitle = "2014 IEEE INTERNATIONAL ELECTRIC VEHICLE CONFERENCE (IEVC)",
    	isbn = "978-1-4799-6075-0",
    	title = "{Integrating the electric grid and the commuter network through a ``Vehicle to Grid{\{}''{\}} concept: a Complex Networks Theory approach}",
    	year = 2014
    }
    
  2. A Scala, P Auconi, M Scazzocchio, G Caldarelli, JA McNamara and L Franchi. Complex networks for data-driven medicine: the case of Class III dentoskeletal disharmony. New Journal of Physics 16(11):115017, November 2014. URL, DOI BibTeX

    @article{scala2014complex,
    	author = "Scala, A and Auconi, P and Scazzocchio, M and Caldarelli, G and McNamara, JA and Franchi, L",
    	doi = "10.1088/1367-2630/16/11/115017",
    	file = "::",
    	issn = "1367-2630",
    	journal = "New Journal of Physics",
    	month = "nov",
    	number = 11,
    	pages = 115017,
    	publisher = "IOP Publishing",
    	title = "{Complex networks for data-driven medicine: the case of Class III dentoskeletal disharmony}",
    	url = "http://stacks.iop.org/1367-2630/16/i=11/a=115017?key=crossref.c480f60f6771cd07458664854543dc81",
    	volume = 16,
    	year = 2014
    }
    
  3. Michelangelo Puliga, Guido Caldarelli and Stefano Battiston. Credit Default Swaps networks and systemic risk.. Scientific reports 4:6822, January 2014. URL, DOI BibTeX

    @article{puliga2014credit,
    	abstract = "Credit Default Swaps (CDS) spreads should reflect default risk of the underlying corporate debt. Actually, it has been recognized that CDS spread time series did not anticipate but only followed the increasing risk of default before the financial crisis. In principle, the network of correlations among CDS spread time series could at least display some form of structural change to be used as an early warning of systemic risk. Here we study a set of 176 CDS time series of financial institutions from 2002 to 2011. Networks are constructed in various ways, some of which display structural change at the onset of the credit crisis of 2008, but never before. By taking these networks as a proxy of interdependencies among financial institutions, we run stress-test based on Group DebtRank. Systemic risk before 2008 increases only when incorporating a macroeconomic indicator reflecting the potential losses of financial assets associated with house prices in the US. This approach indicates a promising way to detect systemic instabilities.",
    	author = "Puliga, Michelangelo and Caldarelli, Guido and Battiston, Stefano",
    	doi = "10.1038/srep06822",
    	issn = "2045-2322",
    	journal = "Scientific reports",
    	language = "en",
    	month = "jan",
    	pages = 6822,
    	pmid = 25366654,
    	publisher = "Nature Publishing Group",
    	title = "{Credit Default Swaps networks and systemic risk.}",
    	url = "http://www.nature.com/srep/2014/141029/srep06822/full/srep06822.html http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4219172{\&}tool=pmcentrez{\&}rendertype=abstract",
    	volume = 4,
    	year = 2014
    }
    
  4. Zhen Zhu, Federica Cerina, Alessandro Chessa, Guido Caldarelli and Massimo Riccaboni. The rise of China in the International Trade Network: a community core detection approach.. PloS one 9(8):e105496, January 2014. URL, DOI BibTeX

    @article{zhu2014rise,
    	abstract = "Theory of complex networks proved successful in the description of a variety of complex systems ranging from biology to computer science and to economics and finance. Here we use network models to describe the evolution of a particular economic system, namely the International Trade Network (ITN). Previous studies often assume that globalization and regionalization in international trade are contradictory to each other. We re-examine the relationship between globalization and regionalization by viewing the international trade system as an interdependent complex network. We use the modularity optimization method to detect communities and community cores in the ITN during the years 1995-2011. We find rich dynamics over time both inter- and intra-communities. In particular, the Asia-Oceania community disappeared and reemerged over time along with a switch in leadership from Japan to China. We provide a multilevel description of the evolution of the network where the global dynamics (i.e., communities disappear or reemerge) and the regional dynamics (i.e., community core changes between community members) are related. Moreover, simulation results show that the global dynamics can be generated by a simple dynamic-edge-weight mechanism.",
    	author = "Zhu, Zhen and Cerina, Federica and Chessa, Alessandro and Caldarelli, Guido and Riccaboni, Massimo",
    	doi = "10.1371/journal.pone.0105496",
    	editor = "Perc, Matjaz",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Zhu et al/PloS one/Zhu et al. - 2014 - The rise of China in the International Trade Network a community core detection approach.pdf:pdf",
    	issn = "1932-6203",
    	journal = "PloS one",
    	month = "jan",
    	number = 8,
    	pages = "e105496",
    	pmid = 25136895,
    	publisher = "Public Library of Science",
    	title = "{The rise of China in the International Trade Network: a community core detection approach.}",
    	url = "http://dx.plos.org/10.1371/journal.pone.0105496",
    	volume = 9,
    	year = 2014
    }
    
  5. Walter Quattrociocchi, Guido Caldarelli and Antonio Scala. Opinion dynamics on interacting networks: media competition and social influence.. Scientific reports 4:4938, May 2014. URL, DOI BibTeX

    @article{quattrociocchi2014opinion,
    	abstract = "The inner dynamics of the multiple actors of the informations systems - i.e, T.V., newspapers, blogs, social network platforms, - play a fundamental role on the evolution of the public opinion. Coherently with the recent history of the information system (from few main stream media to the massive diffusion of socio-technical system), in this work we investigate how main stream media signed interaction might shape the opinion space. In particular we focus on how different size (in the number of media) and interaction patterns of the information system may affect collective debates and thus the opinions' distribution. We introduce a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops. The model accounts also for the effect of the media communication patterns by considering both the simple case where each medium mimics the behavior of the most successful one (to maximize the audience) and the case where there is polarization and thus competition among media memes. We show that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist.",
    	author = "Quattrociocchi, Walter and Caldarelli, Guido and Scala, Antonio",
    	doi = "10.1038/srep04938",
    	issn = "2045-2322",
    	journal = "Scientific reports",
    	keywords = "influence,multilayer-networks,opinions,social{\_}networks",
    	month = "may",
    	pages = 4938,
    	pmid = 24861995,
    	title = "{Opinion dynamics on interacting networks: media competition and social influence.}",
    	url = "http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4033925{\&}tool=pmcentrez{\&}rendertype=abstract http://dx.doi.org/10.1038/srep04938",
    	volume = 4,
    	year = 2014
    }
    
  6. Guido Caldarelli, Alessandro Chessa, Fabio Pammolli, Gabriele Pompa, Michelangelo Puliga, Massimo Riccaboni and Gianni Riotta. A multi-level geographical study of Italian political elections from Twitter data.. PloS one 9(5):e95809, January 2014. URL, DOI BibTeX

    @article{Caldarelli2014,
    	abstract = {In this paper we present an analysis of the behavior of Italian Twitter users during national political elections. We monitor the volumes of the tweets related to the leaders of the various political parties and we compare them to the elections results. Furthermore, we study the topics that are associated with the co-occurrence of two politicians in the same tweet. We cannot conclude, from a simple statistical analysis of tweet volume and their time evolution, that it is possible to precisely predict the election outcome (or at least not in our case of study that was characterized by a "too-close-to-call" scenario). On the other hand, we found that the volume of tweets and their change in time provide a very good proxy of the final results. We present this analysis both at a national level and at smaller levels, ranging from the regions composing the country to macro-areas (North, Center, South).},
    	author = "Caldarelli, Guido and Chessa, Alessandro and Pammolli, Fabio and Pompa, Gabriele and Puliga, Michelangelo and Riccaboni, Massimo and Riotta, Gianni",
    	doi = "10.1371/journal.pone.0095809",
    	editor = "Perc, Matjaz",
    	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/PloS one/Caldarelli et al. - 2014 - A multi-level geographical study of Italian political elections from Twitter data.pdf:pdf",
    	issn = "1932-6203",
    	journal = "PloS one",
    	keywords = "Computer and information sciences,Computer applications,Databases,Information technology,Natural language processing,Physical sciences,Physics,Research Article,Statistical mechanics,Text mining,Web-based applications",
    	month = "jan",
    	number = 5,
    	pages = "e95809",
    	pmid = 24802857,
    	publisher = "Public Library of Science",
    	title = "{A multi-level geographical study of Italian political elections from Twitter data.}",
    	url = "http://dx.plos.org/10.1371/journal.pone.0095809",
    	volume = 9,
    	year = 2014
    }
    
  7. Walter Quattrociocchi, Guido Caldarelli and Antonio Scala. Self-healing networks: redundancy and structure.. PloS one 9(2):e87986, January 2014. URL, DOI BibTeX

    @article{quattrociocchi2014self,
    	abstract = "We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns-from planar grids, to small-world, up to scale-free networks-on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems.",
    	archiveprefix = "arXiv",
    	arxivid = "arXiv:1305.3450v1",
    	author = "Quattrociocchi, Walter and Caldarelli, Guido and Scala, Antonio",
    	doi = "10.1371/journal.pone.0087986",
    	editor = "Moreno, Yamir",
    	eprint = "arXiv:1305.3450v1",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Quattrociocchi, Caldarelli, Scala/PloS one/Quattrociocchi, Caldarelli, Scala - 2014 - Self-healing networks redundancy and structure.pdf:pdf",
    	issn = "1932-6203",
    	journal = "PloS one",
    	keywords = "Algorithms,Applied mathematics,Complex systems,Computer Communication Networks,Computer Simulation,Computer modeling,Computer science,Computing methods,Computing systems,Earth sciences,Electric Power Supplies,Electric power distribution,Energy and power,Mathematical computing,Mathematics,Physics,Power distribution,Research Article,Statistical mechanics,Statistical methods,Statistics,Water Supply",
    	month = "jan",
    	number = 2,
    	pages = "e87986",
    	pmid = 24533065,
    	publisher = "Public Library of Science",
    	title = "{Self-healing networks: redundancy and structure.}",
    	url = "http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0087986 http://dx.doi.org/10.1371{\%}2Fjournal.pone.0087986 http://dx.plos.org/10.1371/journal.pone.0087986 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3922772{\&}tool=pmcentrez{\&}rend",
    	volume = 9,
    	year = 2014
    }
    
  8. Alessandro Bessi, Guido Caldarelli, Michela Del Vicario, Antonio Scala and Walter Quattrociocchi. Social Determinants of Content Selection in the Age of (Mis)Information. In Social Informatics - 6th International Conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014. Proceedings. 2014, 259–268. URL, DOI BibTeX

    @inproceedings{bessi2014social,
    	author = "Bessi, Alessandro and Caldarelli, Guido and Vicario, Michela Del and Scala, Antonio and Quattrociocchi, Walter",
    	booktitle = "Social Informatics - 6th International Conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014. Proceedings",
    	doi = "10.1007/978-3-319-13734-6_18",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Bessi et al/Social Informatics - 6th International Conference, SocInfo 2014, Barcelona, Spain, November 11-13, 2014. Proceedings/Bessi et al. - 2014 - Social Determinants of Content Selection in the Age of (Mis)Information.pdf:pdf",
    	pages = "259--268",
    	title = "{Social Determinants of Content Selection in the Age of (Mis)Information}",
    	url = "http://dx.doi.org/10.1007/978-3-319-13734-6{\_}18",
    	year = 2014
    }
    
  9. Antonio Scala, Guido Caldarelli, Alessandro Chessa, Alfonso Damiano, Mario Mureddu, Sakshi Pahwa, Caterina Scoglio and Walter Quattrociocchi. Power Grids, Smart Grids and Complex Networks. In Davron Matrasulov and Eugene H Stanley (eds.). Nonlinear Phenomena in Complex Systems: From Nano to Macro Scale. NATO Science for Peace and Security Series C: Environmental Security series, Springer Netherlands, 2014, pages 97–110. URL, DOI BibTeX

    @incollection{ScalaNATO2014,
    	author = "Scala, Antonio and Caldarelli, Guido and Chessa, Alessandro and Damiano, Alfonso and Mureddu, Mario and Pahwa, Sakshi and Scoglio, Caterina and Quattrociocchi, Walter",
    	booktitle = "Nonlinear Phenomena in Complex Systems: From Nano to Macro Scale",
    	doi = "10.1007/978-94-017-8704-8_8",
    	editor = "Matrasulov, Davron and Stanley, H Eugene",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Scala et al/Nonlinear Phenomena in Complex Systems From Nano to Macro Scale/Scala et al. - 2014 - Power Grids, Smart Grids and Complex Networks.pdf:pdf",
    	isbn = "978-94-017-8703-1",
    	pages = "97--110",
    	publisher = "Springer Netherlands",
    	series = "NATO Science for Peace and Security Series C: Environmental Security",
    	title = "{Power Grids, Smart Grids and Complex Networks}",
    	url = "http://dx.doi.org/10.1007/978-94-017-8704-8{\_}8",
    	year = 2014
    }
    
  10. Mario Mureddu, Antonio Scala, Alessandro Chessa, Guido Caldarelli, Maura Musio and Alfonso Damiano. An Agent Based Approach for the Development of EV fleet Charging Strategies in Smart Cities. In 2014 IEEE International Electric Vehicle Conference (IEVC 2014). December 2014, 1–8. URL, DOI BibTeX

    @inproceedings{Mureddu2014,
    	abstract = "In the present paper an agent based approach, addressed to simulate the behaviour of a Plug-in Electric Vehicles (PEV) fleet into a Smart City, is presented. Considering the traffic data-set available from mobility plans, a spatial and time model, representing the evolution of travel patterns, can be developed considering each vehicle as an agent. The following statistical analysis in space and time of the agent behaviours is used to plan the PEV charging infrastructure of municipalities. The proposed planning methodology has been tested on an European city in order to evaluate the effectiveness of the proposed procedure. Such charging infrastructure, defined according to the mobility needs, has been tested and used to evaluate the customer satisfaction of PEV users in term of charging demand. The proposed charging system has been implemented to estimate the average daily energy profiles for charging the smart city PEV fleet during a typical workday. This has been finally used as one day ahead energy reference profile to develop a market-oriented EV charging strategies. The performance of the proposed smart charging strategies has been finally simulated and compared.",
    	author = "Mureddu, Mario and Scala, Antonio and Chessa, Alessandro and Caldarelli, Guido and Musio, Maura and Damiano, Alfonso",
    	booktitle = "2014 IEEE International Electric Vehicle Conference (IEVC 2014)",
    	doi = "10.1109/IEVC.2014.7056178",
    	isbn = 9781479960750,
    	keywords = "Charging stations,Cities and towns,Customer satisfaction,Planning,Roads,Vehicles",
    	month = "dec",
    	pages = "1--8",
    	publisher = "IEEE",
    	shorttitle = "Electric Vehicle Conference (IEVC), 2014 IEEE Inte",
    	title = "{An Agent Based Approach for the Development of EV fleet Charging Strategies in Smart Cities}",
    	url = "http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7056178",
    	year = 2014
    }
    
  11. Stefano Battiston and Guido Caldarelli. Financial Networks. In G D'Agostino and A Scala (eds.). Networks of Networks: The Last Frontier of Complexity. Springer, 2014, pages 311–321. BibTeX

    @incollection{battiston2014financial,
    	author = "Battiston, Stefano and Caldarelli, Guido",
    	booktitle = "Networks of Networks: The Last Frontier of Complexity",
    	editor = "D'Agostino, G. and Scala, A.",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Battiston, Caldarelli/Networks of Networks The Last Frontier of Complexity/Battiston, Caldarelli - 2014 - Financial Networks.pdf:pdf",
    	pages = "311--321",
    	publisher = "Springer",
    	title = "{Financial Networks}",
    	year = 2014
    }
    
  12. Giulio Cimini, Andrea Gabrielli and Francesco Sylos Labini. The Scientific Competitiveness of Nations. PLOS ONE 9(12), December 2014. DOI BibTeX

    @article{ISI:000346611400012,
    	abstract = "We use citation data of scientific articles produced by individual nations in different scientific domains to determine the structure and efficiency of national research systems. We characterize the scientific fitness of each nation-that is, the competitiveness of its research system-and the complexity of each scientific domain by means of a non-linear iterative algorithm able to assess quantitatively the advantage of scientific diversification. We find that technological leading nations, beyond having the largest production of scientific papers and the largest number of citations, do not specialize in a few scientific domains. Rather, they diversify as much as possible their research system. On the other side, less developed nations are competitive only in scientific domains where also many other nations are present. Diversification thus represents the key element that correlates with scientific and technological competitiveness. A remarkable implication of this structure of the scientific competition is that the scientific domains playing the role of ``markers'' of national scientific competitiveness are those not necessarily of high technological requirements, but rather addressing the most ``sophisticated'' needs of the society.",
    	author = "Cimini, Giulio and Gabrielli, Andrea and Labini, Francesco Sylos",
    	doi = "10.1371/journal.pone.0113470",
    	issn = "1932-6203",
    	journal = "PLOS ONE",
    	month = "dec",
    	number = 12,
    	title = "{The Scientific Competitiveness of Nations}",
    	volume = 9,
    	year = 2014
    }
    
  13. Hao Liao, Rui Xiao, Giulio Cimini and Matus Medo. Network-Driven Reputation in Online Scientific Communities. PLOS ONE 9(12), December 2014. DOI BibTeX

    @article{ISI:000345869700008,
    	abstract = "The ever-increasing quantity and complexity of scientific production have made it difficult for researchers to keep track of advances in their own fields. This, together with growing popularity of online scientific communities, calls for the development of effective information filtering tools. We propose here an algorithm which simultaneously computes reputation of users and fitness of papers in a bipartite network representing an online scientific community. Evaluation on artificially-generated data and real data from the Econophysics Forum is used to determine the method's best-performing variants. We show that when the input data is extended to a multilayer network including users, papers and authors and the algorithm is correspondingly modified, the resulting performance improves on multiple levels. In particular, top papers have higher citation count and top authors have higher h-index than top papers and top authors chosen by other algorithms. We finally show that our algorithm is robust against persistent authors (spammers) which makes the method readily applicable to the existing online scientific communities.",
    	author = "Liao, Hao and Xiao, Rui and Cimini, Giulio and Medo, Matus",
    	doi = "10.1371/journal.pone.0112022",
    	issn = "1932-6203",
    	journal = "PLOS ONE",
    	month = "dec",
    	number = 12,
    	title = "{Network-Driven Reputation in Online Scientific Communities}",
    	volume = 9,
    	year = 2014
    }
    
  14. Giulio Cimini and Angel Sanchez. Learning dynamics explains human behaviour in Prisoner's Dilemma on networks. JOURNAL OF THE ROYAL SOCIETY INTERFACE 11(94), May 2014. DOI BibTeX

    @article{ISI:000333191800011,
    	abstract = "Cooperative behaviour lies at the very basis of human societies, yet its evolutionary origin remains a key unsolved puzzle. Whereas reciprocity or conditional cooperation is one of the most prominent mechanisms proposed to explain the emergence of cooperation in social dilemmas, recent experimental findings on networked Prisoner's Dilemma games suggest that conditional cooperation also depends on the previous action of the player-namely on the `mood' in which the player is currently in. Roughly, a majority of people behave as conditional cooperators if they cooperated in the past, whereas they ignore the context and free ride with high probability if they did not. However, the ultimate origin of this behaviour represents a conundrum itself. Here, we aim specifically to provide an evolutionary explanation of moody conditional cooperation (MCC). To this end, we perform an extensive analysis of different evolutionary dynamics for players' behavioural traits-ranging from standard processes used in game theory based on pay-off comparison to others that include non-economic or social factors. Our results show that only a dynamic built upon reinforcement learning is able to give rise to evolutionarily stable MCC, and at the end to reproduce the human behaviours observed in the experiments.",
    	author = "Cimini, Giulio and Sanchez, Angel",
    	doi = "10.1098/rsif.2013.1186",
    	issn = "1742-5689",
    	journal = "JOURNAL OF THE ROYAL SOCIETY INTERFACE",
    	month = "may",
    	number = 94,
    	title = "{Learning dynamics explains human behaviour in Prisoner's Dilemma on networks}",
    	volume = 11,
    	year = 2014
    }
    
  15. Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo and Diego Garlaschelli. Reconstructing the world trade multiplex: The role of intensive and extensive biases. Physical Review E 90(6):1–18, 2014. URL, DOI BibTeX

    @article{mastrandrea2014reconstructing,
    	author = "Mastrandrea, Rossana and Squartini, Tiziano and Fagiolo, Giorgio and Garlaschelli, Diego",
    	doi = "10.1103/PhysRevE.90.062804",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Mastrandrea et al/Physical Review E/Mastrandrea et al. - 2014 - Reconstructing the world trade multiplex The role of intensive and extensive biases.pdf:pdf",
    	issn = "1539-3755",
    	journal = "Physical Review E",
    	number = 6,
    	pages = "1--18",
    	title = "{Reconstructing the world trade multiplex: The role of intensive and extensive biases}",
    	url = "http://link.aps.org/doi/10.1103/PhysRevE.90.062804",
    	volume = 90,
    	year = 2014
    }
    
  16. Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo and Diego Garlaschelli. Enhanced reconstruction of weighted networks from strengths and degrees. New Journal of Physics 16(4):043022, 2014. URL, DOI BibTeX

    @article{mastrandrea2014enhanced,
    	archiveprefix = "arXiv",
    	arxivid = "arXiv:1307.2104v2",
    	author = "Mastrandrea, Rossana and Squartini, Tiziano and Fagiolo, Giorgio and Garlaschelli, Diego",
    	doi = "10.1088/1367-2630/16/4/043022",
    	eprint = "arXiv:1307.2104v2",
    	file = ":Users/Gcalda/Dropbox (IMT Alti Studi Lucca)/Mendeley Desktop/Mastrandrea et al/New Journal of Physics/Mastrandrea et al. - 2014 - Enhanced reconstruction of weighted networks from strengths and degrees.pdf:pdf",
    	issn = "1367-2630",
    	journal = "New Journal of Physics",
    	number = 4,
    	pages = 043022,
    	publisher = "IOP Publishing",
    	title = "{Enhanced reconstruction of weighted networks from strengths and degrees}",
    	url = "http://stacks.iop.org/1367-2630/16/i=4/a=043022?key=crossref.df57c3bef118788c2ef7d5d5414f1131",
    	volume = 16,
    	year = 2014
    }