1. Antonio Scala, Vinko Zlatic, Guido Caldarelli and Gregorio D'Agostino. Mitigating cascades in sandpile models: an immunization strategy for systemic risk?. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS 225(10):2017–2023, October 2016. DOI BibTeX

    @article{ISI:000386269200010,
    	abstract = "We use a simple model of distress propagation (the sandpile model) to show how financial systems are naturally subject to the risk of systemic failures. Taking into account possible network structures among financial institutions, we investigate if simple policies can limit financial distress propagation to avoid system-wide crises, i.e. to dampen systemic risk. We therefore compare different immunization policies (i.e. targeted helps to financial institutions) and find that the information coming from the network topology allows to mitigate systemic cascades by targeting just few institutions.",
    	author = "Scala, Antonio and Zlatic, Vinko and Caldarelli, Guido and D'Agostino, Gregorio",
    	doi = "10.1140/epjst/e2016-60001-7",
    	issn = "1951-6355",
    	journal = "EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS",
    	month = "oct",
    	number = 10,
    	pages = "2017--2023",
    	title = "{Mitigating cascades in sandpile models: an immunization strategy for systemic risk?}",
    	volume = 225,
    	year = 2016
    }
    
  2. Alessandro Bessi, Fabio Petroni, Michela Del Vicario, Fabiana Zollo, Aris Anagnostopoulos, Antonio Scala, Guido Caldarelli and Walter Quattrociocchi. Homophily and polarization in the age of misinformation. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS 225(10):2047–2059, October 2016. DOI BibTeX

    @article{ISI:000386269200013,
    	abstract = "The World Economic Forum listed massive digital misinformation as one of the main threats for our society. The spreading of unsubstantiated rumors may have serious consequences on public opinion such as in the case of rumors about Ebola causing disruption to health-care workers. In this work we target Facebook to characterize information consumption patterns of 1.2M Italian users with respect to verified (science news) and unverified (conspiracy news) contents. Through a thorough quantitative analysis we provide important insights about the anatomy of the system across which misinformation might spread. In particular, we show that users' engagement on verified (or unverified) content correlates with the number of friends having similar consumption patterns (homophily). Finally, we measure how this social system responded to the injection of 4, 709 false information. We find that the frequent (and selective) exposure to specific kind of content (polarization) is a good proxy for the detection of homophile clusters where certain kind of rumors are more likely to spread.",
    	author = "Bessi, Alessandro and Petroni, Fabio and {Del Vicario}, Michela and Zollo, Fabiana and Anagnostopoulos, Aris and Scala, Antonio and Caldarelli, Guido and Quattrociocchi, Walter",
    	doi = "10.1140/epjst/e2015-50319-0",
    	issn = "1951-6355",
    	journal = "EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS",
    	month = "oct",
    	number = 10,
    	pages = "2047--2059",
    	title = "{Homophily and polarization in the age of misinformation}",
    	volume = 225,
    	year = 2016
    }
    
  3. Guido Caldarelli and Alessandro Chessa. Data Science and Complex Networks Real Cases Studies with Python Preface. In DATA SCIENCE AND COMPLEX NETWORKS: REAL CASES STUDIES WITH PYTHON. 2016. BibTeX

    @incollection{ISI:000401450300001,
    	author = "Caldarelli, Guido and Chessa, Alessandro",
    	booktitle = "DATA SCIENCE AND COMPLEX NETWORKS: REAL CASES STUDIES WITH PYTHON",
    	isbn = "978-0-19-963960-1",
    	title = "{Data Science and Complex Networks Real Cases Studies with Python Preface}",
    	year = 2016
    }
    
  4. Stefano Battiston, Guido Caldarelli, Marco D'Errico and Stefano Gurciullo. Leveraging the network : a stress-test framework based on DebtRank. Statistics and Risk Modeling, pages 1–33, 2016. URL, DOI BibTeX

    @article{battiston2016leveraging,
    	abstract = "We develop a novel stress-test framework to monitor systemic risk in financial systems. The modular structure of the framework allows to accommodate for a variety of shock scenarios, methods to estimate interbank exposures and mecha-nisms of distress propagation. The main features are as follows. First, the frame-work allows to estimate and disentangle not only first-round effects (i.e. shock on external assets) and second-round effects (i.e. distress induced in the interbank network), but also third-round effects induced by possible fire sales. Second, it allows to monitor at the same time the impact of shocks on individual or groups of financial institutions as well as their vulnerability to shocks on counterparties or certain asset classes. Third, it includes estimates for loss distributions, thus combining network effects with familiar risk measures such as VaR and CVaR. Fourth, in order to perform robustness analyses and cope with incomplete data, the framework features a module for the generation of sets of networks of inter-bank exposures that are coherent with the total lending and borrowing of each bank. As an illustration, we carry out a stress–test exercise on a dataset of listed European banks over the years 2008-2013. We find that second-round and third-round effects dominate first-round effects, therefore suggesting that most current stress-test frameworks might lead to a severe underestimation of systemic risk.",
    	archiveprefix = "arXiv",
    	arxivid = "arXiv:1503.00621v1",
    	author = "Battiston, Stefano and Caldarelli, Guido and D'Errico, Marco and Gurciullo, Stefano",
    	doi = "10.2139/ssrn.2571218",
    	eprint = "arXiv:1503.00621v1",
    	issn = "1556-5068",
    	journal = "Statistics and Risk Modeling",
    	keywords = "balance-sheets,battiston{\_}journals,contagion,financial networks,stress-tests,systemic risk",
    	mendeley-tags = "battiston{\_}journals",
    	pages = "1--33",
    	title = "{Leveraging the network : a stress-test framework based on DebtRank}",
    	url = "http://papers.ssrn.com/sol3/papers.cfm?abstract{\_}id=2571218",
    	year = 2016
    }
    
  5. Michela Del Vicario, Gianna Vivaldo, Alessandro Bessi, Fabiana Zollo, Antonio Scala, Guido Caldarelli and Walter Quattrociocchi. Echo Chambers: Emotional Contagion and Group Polarization on Facebook. Scientific Reports 6:37825, June 2016. URL, DOI BibTeX

    @article{DelVicario2016b,
    	abstract = "Recent findings showed that users on Facebook tend to select information that adhere to their system of beliefs and to form polarized groups -- i.e., echo chambers. Such a tendency dominates information cascades and might affect public debates on social relevant issues. In this work we explore the structural evolution of communities of interest by accounting for users emotions and engagement. Focusing on the Facebook pages reporting on scientific and conspiracy content, we characterize the evolution of the size of the two communities by fitting daily resolution data with three growth models -- i.e. the Gompertz model, the Logistic model, and the Log-logistic model. Then, we explore the interplay between emotional state and engagement of users in the group dynamics. Our findings show that communities' emotional behavior is affected by the users' involvement inside the echo chamber. Indeed, to an higher involvement corresponds a more negative approach. Moreover, we observe that, on average, more active users show a faster shift towards the negativity than less active ones.",
    	author = "{Del Vicario}, Michela and Vivaldo, Gianna and Bessi, Alessandro and Zollo, Fabiana and Scala, Antonio and Caldarelli, Guido and Quattrociocchi, Walter",
    	doi = "http://doi.org/10.1038/srep37825",
    	journal = "Scientific Reports",
    	month = "jun",
    	pages = 37825,
    	title = "{Echo Chambers: Emotional Contagion and Group Polarization on Facebook}",
    	url = "http://arxiv.org/abs/1607.01032",
    	volume = 6,
    	year = 2016
    }
    
  6. Mario Mureddu, Guido Caldarelli, Alfonso Damiano, Antonio Scala and Hildegard Meyer-Ortmanns. Islanding the power grid on the transmission level: less connections for more security. Scientific Reports 6:34797, 2016. URL, DOI BibTeX

    @article{mureddu2016islanding,
    	author = "Mureddu, Mario and Caldarelli, Guido and Damiano, Alfonso and Scala, Antonio and Meyer-Ortmanns, Hildegard",
    	doi = "10.1038/srep34797",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Mureddu et al/Scientific Reports/Mureddu et al. - 2016 - Islanding the power grid on the transmission level less connections for more security.pdf:pdf",
    	issn = "2045-2322",
    	journal = "Scientific Reports",
    	pages = 34797,
    	publisher = "Nature Publishing Group",
    	title = "{Islanding the power grid on the transmission level: less connections for more security}",
    	url = "http://www.nature.com/articles/srep34797",
    	volume = 6,
    	year = 2016
    }
    
  7. Marco Bardoscia, Fabio Caccioli, Juan Ignacio Perotti, Gianna Vivaldo and Guido Caldarelli. Distress propagation in complex networks: the case of non-linear DebtRank. PLoS ONE 11:e0163825, December 2016. URL BibTeX

    @article{bardoscia2015distress,
    	abstract = "We consider a dynamical model of distress propagation on complex networks, which we apply to the study of financial contagion in networks of banks connected to each other by direct exposures. The model that we consider is an extension of the DebtRank algorithm, recently introduced in the literature. The mechanics of distress propagation is very simple: When a bank suffers a loss, distress propagates to its creditors, who in turn suffer losses, and so on. The original DebtRank assumes that losses are propagated linearly between connected banks. Here we relax this assumption and introduce a one-parameter family of non-linear propagation functions. As a case study, we apply this algorithm to a data-set of 183 European banks, and we study how the stability of the system depends on the non-linearity parameter under different stress-test scenarios. We find that the system is characterized by a transition between a regime where small shocks can be amplified and a regime where shocks do not propagate, and that the overall the stability of the system increases between 2008 and 2013.",
    	archiveprefix = "arXiv",
    	arxivid = "1512.04460",
    	author = "Bardoscia, Marco and Caccioli, Fabio and Perotti, Juan Ignacio and Vivaldo, Gianna and Caldarelli, Guido",
    	eprint = "1512.04460",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Bardoscia et al/PLoS ONE/Bardoscia et al. - 2016 - Distress propagation in complex networks the case of non-linear DebtRank.pdf:pdf",
    	journal = "PLoS ONE",
    	month = "dec",
    	pages = "e0163825",
    	title = "{Distress propagation in complex networks: the case of non-linear DebtRank}",
    	url = "http://arxiv.org/abs/1512.04460",
    	volume = 11,
    	year = 2016
    }
    
  8. Stefano Battiston, Guido Caldarelli, Robert May, Tarik Roukny and Joseph Stiglitz. The Price of Complexity in Financial Networks. PNAS 110:10031–10036, 2016. BibTeX

    @article{Battiston2016,
    	author = "Battiston, Stefano and Caldarelli, Guido and May, Robert and Roukny, Tarik and Stiglitz, Joseph",
    	journal = "PNAS",
    	pages = "10031--10036",
    	title = "{The Price of Complexity in Financial Networks}",
    	volume = 110,
    	year = 2016
    }
    
  9. Alessandro Bessi, Fabiana Zollo, Michela Del Vicario, Michelangelo Puliga, Antonio Scala, Guido Caldarelli, Brian Uzzi and Walter Quattrociocchi. Users polarization on Facebook and Youtube. PLoS ONE 11(8):1–24, 2016. DOI BibTeX

    @article{bessi2016users,
    	abstract = "On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (videos) are consumed on different platforms -- i.e. Facebook and YouTube -- over a sample of {\$}12M{\$} of users. Our findings show that the same content lead to the formation of echo chambers, irrespective of the online social network and thus of the algorithm for content promotion. Finally, we show that the users' commenting patterns are accurate early predictors for the formation of echo-chambers.",
    	archiveprefix = "arXiv",
    	arxivid = "1604.02705",
    	author = "Bessi, Alessandro and Zollo, Fabiana and {Del Vicario}, Michela and Puliga, Michelangelo and Scala, Antonio and Caldarelli, Guido and Uzzi, Brian and Quattrociocchi, Walter",
    	doi = "10.1371/journal.pone.0159641",
    	eprint = "1604.02705",
    	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/PLoS ONE/Bessi et al. - 2016 - Users polarization on Facebook and Youtube.pdf:pdf",
    	issn = 19326203,
    	journal = "PLoS ONE",
    	number = 8,
    	pages = "1--24",
    	title = "{Users polarization on Facebook and Youtube}",
    	volume = 11,
    	year = 2016
    }
    
  10. Gianna Vivaldo, Elisa Masi, Camilla Pandolfi, Stefano Mancuso and Guido Caldarelli. Networks of plants: how to measure similarity in vegetable species. Nature Publishing Group (February):1–11, 2016. URL, DOI BibTeX

    @article{vivaldo2016networks,
    	abstract = "Despite the common misconception of nearly static organisms, plants do interact continuously with the environment and with each other. It is fair to assume that during their evolution they developed particular features to overcome problems and to exploit possibilities from environment. In this paper we introduce various quantitative measures based on recent advancements in complex network theory that allow to measure the effective similarities of various species. By using this approach on the similarity in fruit-typology ecological traits we obtain a clear plant classification in a way similar to traditional taxonomic classification. This result is not trivial, since a similar analysis done on the basis of diaspore morphological properties do not provide any clear parameter to classify plants species. Complex network theory can then be used in order to determine which feature amongst many can be used to distinguish scope and possibly evolution of plants. Future uses of this approach range from functional classification to quantitative determination of plant communities in nature.",
    	archiveprefix = "arXiv",
    	arxivid = "1602.05887",
    	author = "Vivaldo, Gianna and Masi, Elisa and Pandolfi, Camilla and Mancuso, Stefano and Caldarelli, Guido",
    	doi = "10.1038/srep27077",
    	eprint = "1602.05887",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Vivaldo et al/Nature Publishing Group/Vivaldo et al. - 2016 - Networks of plants how to measure similarity in vegetable species.pdf:pdf",
    	issn = "2045-2322",
    	journal = "Nature Publishing Group",
    	number = "February",
    	pages = "1--11",
    	publisher = "Nature Publishing Group",
    	title = "{Networks of plants: how to measure similarity in vegetable species}",
    	url = "http://arxiv.org/abs/1602.05887",
    	year = 2016
    }
    
  11. Young-Ho Eom, Stefano Boccaletti and Guido Caldarelli. Concurrent enhancement of percolation and synchronization in adaptive networks. Scientific Reports 6(January):27111, 2016. URL, DOI BibTeX

    @article{eom2016concurrent,
    	abstract = "Co-evolutionary adaptive mechanisms are not only ubiquitous in nature, but also beneficial for the functioning of a variety of systems. We here consider an adaptive network of oscillators with a stochastic, fitness-based, rule of connectivity, and show that it self-organizes from fragmented and incoherent states to connected and synchronized ones. The synchronization and percolation are associated to abrupt transitions, and they are concurrently (and significantly) enhanced as compared to the non-adaptive case. Finally we provide evidence that only partial adaptation is sufficient to determine these enhancements. Our study, therefore, indicates that inclusion of simple adaptive mechanisms can efficiently describe some emergent features of networked systems' collective behaviors, and suggests also self-organized ways to control synchronization and percolation in natural and social systems.",
    	archiveprefix = "arXiv",
    	arxivid = "1511.05468",
    	author = "Eom, Young-Ho and Boccaletti, Stefano and Caldarelli, Guido",
    	doi = "10.1038/srep27111",
    	eprint = "1511.05468",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Eom, Boccaletti, Caldarelli/Scientific Reports/Eom, Boccaletti, Caldarelli - 2016 - Concurrent enhancement of percolation and synchronization in adaptive networks.pdf:pdf",
    	issn = "2045-2322",
    	journal = "Scientific Reports",
    	number = "January",
    	pages = 27111,
    	publisher = "Nature Publishing Group",
    	title = "{Concurrent enhancement of percolation and synchronization in adaptive networks}",
    	url = "http://arxiv.org/abs/1511.05468{\%}5Cnhttp://www.nature.com/articles/srep27111",
    	volume = 6,
    	year = 2016
    }
    
  12. Antonio Scala, Pier Giorgio De Sanctis Lucentini, Guido Caldarelli and Gregorio D'Agostino. Cascades in interdependent flow networks. Physica D: Nonlinear Phenomena 323-324:35–39, 2016. URL, DOI BibTeX

    @article{Scala2016,
    	abstract = "In this manuscript, we investigate the abrupt breakdown behavior of coupled distribution grids under load growth. This scenario mimics the ever-increasing customer demand and the foreseen introduction of energy hubs interconnecting the different energy vectors. We extend an analytical model of cascading behavior due to line overloads to the case of interdependent networks and find evidence of first order transitions due to the long-range nature of the flows. Our results indicate that the foreseen increase in the couplings between the grids has two competing effects: on the one hand, it increases the safety region where grids can operate without withstanding systemic failures; on the other hand, it increases the possibility of a joint systems' failure.",
    	archiveprefix = "arXiv",
    	arxivid = "1512.03088",
    	author = "Scala, Antonio and {De Sanctis Lucentini}, Pier Giorgio and Caldarelli, Guido and D'Agostino, Gregorio",
    	doi = "10.1016/j.physd.2015.10.010",
    	eprint = "1512.03088",
    	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/Physica D Nonlinear Phenomena/Scala et al. - 2016 - Cascades in interdependent flow networks.pdf:pdf",
    	issn = 01672789,
    	journal = "Physica D: Nonlinear Phenomena",
    	keywords = "Complex networks,Interdependencies,Mean field models",
    	pages = "35--39",
    	publisher = "Elsevier B.V.",
    	title = "{Cascades in interdependent flow networks}",
    	url = "http://dx.doi.org/10.1016/j.physd.2015.10.010",
    	volume = "323-324",
    	year = 2016
    }
    
  13. Gabriele Ranco, Ilaria Bordino, Giacomo Bormetti, Guido Caldarelli, Fabrizio Lillo and Michele Treccani. Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.. PloS one 11(1):e0146576, 2016. URL, DOI BibTeX

    @article{Ranco2016,
    	abstract = {The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and daily price changes of a set of 100 highly capitalized US stocks traded in the period 2012-2013. Sentiment analysis or browsing activity when taken alone have very small or no predictive power. Conversely, when considering a news signal where in a given time interval we compute the average sentiment of the clicked news, weighted by the number of clicks, we show that for nearly 50{\%} of the companies such signal Granger-causes hourly price returns. Our result indicates a "wisdom-of-the-crowd" effect that allows to exploit users' activity to identify and weigh properly the relevant and surprising news, enhancing considerably the forecasting power of the news sentiment.},
    	archiveprefix = "arXiv",
    	arxivid = "1412.3948",
    	author = "Ranco, Gabriele and Bordino, Ilaria and Bormetti, Giacomo and Caldarelli, Guido and Lillo, Fabrizio and Treccani, Michele",
    	doi = "10.1371/journal.pone.0146576",
    	eprint = "1412.3948",
    	file = ":Users/Gcalda/Google Drive (This email address is being protected from spambots. You need JavaScript enabled to view it.)/Mendeley Desktop/Ranco et al/PloS one/Ranco et al. - 2016 - Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.pdf:pdf",
    	issn = "1932-6203",
    	journal = "PloS one",
    	number = 1,
    	pages = "e0146576",
    	pmid = 26808833,
    	title = "{Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.}",
    	url = "http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0146576",
    	volume = 11,
    	year = 2016
    }
    
  14. Michela Del Vicario, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, Eugene H Stanley and Walter Quattrociocchi. The spreading of misinformation online. Proceedings of the National Academy of Sciences, page 201517441, 2016. URL, DOI BibTeX

    @article{DelVicario2016,
    	abstract = {SignificanceThe wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. However, the World Wide Web is a fruitful environment for the massive diffusion of unverified rumors. In this work, using a massive quantitative analysis of Facebook, we show that information related to distinct narratives--conspiracy theories and scientific news--generates homogeneous and polarized communities (i.e., echo chambers) having similar information consumption patterns. Then, we derive a data-driven percolation model of rumor spreading that demonstrates that homogeneity and polarization are the main determinants for predicting cascades size. The wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. However, the World Wide Web (WWW) also allows for the rapid dissemination of unsubstantiated rumors and conspiracy theories that often elicit rapid, large, but naive social responses such as the recent case of Jade Helm 15--where a simple military exercise turned out to be perceived as the beginning of a new civil war in the United States. In this work, we address the determinants governing misinformation spreading through a thorough quantitative analysis. In particular, we focus on how Facebook users consume information related to two distinct narratives: scientific and conspiracy news. We find that, although consumers of scientific and conspiracy stories present similar consumption patterns with respect to content, cascade dynamics differ. Selective exposure to content is the primary driver of content diffusion and generates the formation of homogeneous clusters, i.e., "echo chambers." Indeed, homogeneity appears to be the primary driver for the diffusion of contents and each echo chamber has its own cascade dynamics. Finally, we introduce a data-driven percolation model mimicking rumor spreading and we show that homogeneity and polarization are the main determinants for predicting cascades size.},
    	author = "{Del Vicario}, Michela and Bessi, Alessandro and Zollo, Fabiana and Petroni, Fabio and Scala, Antonio and Caldarelli, Guido and Stanley, H. Eugene and Quattrociocchi, Walter",
    	doi = "10.1073/pnas.1517441113",
    	issn = "0027-8424",
    	journal = "Proceedings of the National Academy of Sciences",
    	keywords = "DOLFINS{\_}T3.1,DOLFINS{\_}WP3",
    	mendeley-tags = "DOLFINS{\_}T3.1,DOLFINS{\_}WP3",
    	pages = 201517441,
    	pmid = 24889601,
    	title = "{The spreading of misinformation online}",
    	url = "http://www.pnas.org/content/early/2016/01/02/1517441113.abstract",
    	year = 2016
    }
    
  15. Matus Medo and Giulio Cimini. Model-based evaluation of scientific impact indicators. PHYSICAL REVIEW E 94(3), September 2016. DOI BibTeX

    @article{ISI:000383342700004,
    	abstract = "Using bibliometric data artificially generated through a model of citation dynamics calibrated on empirical data, we compare several indicators for the scientific impact of individual researchers. The use of such a controlled setup has the advantage of avoiding the biases present in real databases, and it allows us to assess which aspects of the model dynamics and which traits of individual researchers a particular indicator actually reflects. We find that the simple average citation count of the authored papers performs well in capturing the intrinsic scientific ability of researchers, regardless of the length of their career. On the other hand, when productivity complements ability in the evaluation process, the notorious h and g indices reveal their potential, yet their normalized variants do not always yield a fair comparison between researchers at different career stages. Notably, the use of logarithmic units for citation counts allows us to build simple indicators with performance equal to that of h and g. Our analysis may provide useful hints for a proper use of bibliometric indicators. Additionally, our framework can be extended by including other aspects of the scientific production process and citation dynamics, with the potential to become a standard tool for the assessment of impact metrics.",
    	author = "Medo, Matus and Cimini, Giulio",
    	doi = "10.1103/PhysRevE.94.032312",
    	issn = "2470-0045",
    	journal = "PHYSICAL REVIEW E",
    	month = "sep",
    	number = 3,
    	title = "{Model-based evaluation of scientific impact indicators}",
    	volume = 94,
    	year = 2016
    }
    
  16. Giulio Cimini, Andrea Zaccaria and Andrea Gabrielli. Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations. JOURNAL OF INFORMETRICS 10(1):200–211, February 2016. DOI BibTeX

    @article{ISI:000371938600018,
    	abstract = "We discuss, at the macro-level of nations, the contribution of research funding and rate of international collaboration to research performance, with important implications for the ``science of science policy{\{}''{\}}. In particular, we cross-correlate suitable measures of these quantities with a scientometric-based assessment of scientific success, studying both the average performance of nations and their temporal dynamics in the space defined by these variables during the last decade. We find significant differences among nations in terms of efficiency in turning (financial) input into bibliometrically measurable output, and we confirm that growth of international collaboration positively correlate with scientific success with significant benefits brought by EU integration policies. Various geo-cultural clusters of nations naturally emerge from our analysis. We critically discuss the factors that potentially determine the observed patterns. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).",
    	author = "Cimini, Giulio and Zaccaria, Andrea and Gabrielli, Andrea",
    	doi = "10.1016/j.joi.2016.01.002",
    	issn = "1751-1577",
    	journal = "JOURNAL OF INFORMETRICS",
    	month = "feb",
    	number = 1,
    	pages = "200--211",
    	title = "{Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations}",
    	volume = 10,
    	year = 2016
    }
    
  17. Stanislao Gualdi, Giulio Cimini, Kevin Primicerio, Riccardo Di Clemente and Damien Challet. Statistically validated network of portfolio overlaps and systemic risk. Scientific Reports 6:39467, March 2016. URL, DOI BibTeX

    @article{Gualdi2016,
    	abstract = "Common asset holding by financial institutions, namely portfolio overlap, is nowadays regarded as an important channel for financial contagion with the potential to trigger fire sales and thus severe losses at the systemic level. In this paper we propose a method to assess the statistical significance of the overlap between pairs of heterogeneously diversified portfolios, which then allows us to build a validated network of financial institutions where links indicate potential contagion channels due to realized portfolio overlaps. The method is implemented on a historical database of institutional holdings ranging from 1999 to the end of 2013, but can be in general applied to any bipartite network where the presence of similar sets of neighbors is of interest. We find that the proportion of validated network links (i.e., of statistically significant overlaps) increased steadily before the 2007-2008 global financial crisis and reached a maximum when the crisis occurred. We argue that the nature of this measure implies that systemic risk from fire sales liquidation was maximal at that time. After a sharp drop in 2008, systemic risk resumed its growth in 2009, with a notable acceleration in 2013, reaching levels not seen since 2007. We finally show that market trends tend to be amplified in the portfolios identified by the algorithm, such that it is possible to have an informative signal about financial institutions that are about to suffer (enjoy) the most significant losses (gains).",
    	author = "Gualdi, Stanislao and Cimini, Giulio and Primicerio, Kevin and {Di Clemente}, Riccardo and Challet, Damien",
    	doi = "http://doi.org/10.1038/srep39467",
    	journal = "Scientific Reports",
    	month = "mar",
    	pages = 39467,
    	title = "{Statistically validated network of portfolio overlaps and systemic risk}",
    	url = "http://arxiv.org/abs/1603.05914",
    	volume = 6,
    	year = 2016
    }
    
  18. Giulio Cimini and Matteo Serri. Entangling credit and funding shocks in interbank markets. arXiv:1604.06629, 2016. BibTeX

    @article{cimini2016entangling,
    	author = "Cimini, Giulio and Serri, Matteo",
    	journal = "arXiv:1604.06629",
    	title = "{Entangling credit and funding shocks in interbank markets}",
    	year = 2016
    }
    
  19. Fabio Saracco, Riccardo Di Clemente, Andrea Gabrielli and Tiziano Squartini. Detecting early signs of the 2007–2008 crisis in the world trade. Scientific Reports 6:30286, July 2016. URL, DOI BibTeX

    @article{saracco2016detecting,
    	abstract = "Since 2007, several contributions have tried to identify early-warning signals of the financial crisis. However, the vast majority of analyses has focused on financial systems and little theoretical work has been done on the economic counterpart. In the present paper we fill this gap and employ the theoretical tools of network theory to shed light on the response of world trade to the financial crisis of 2007 and the economic recession of 2008-2009. We have explored the evolution of the bipartite World Trade Web (WTW) across the years 1995-2010, monitoring the behavior of the system both before and after 2007. Our analysis shows early structural changes in the WTW topology: since 2003, the WTW becomes increasingly compatible with the picture of a network where correlations between countries and products are progressively lost. Moreover, the WTW structural modification can be considered as concluded in 2010, after a seemingly stationary phase of three years. We have also refined our analysis by considering specific subsets of countries and products: the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on developing countries, suggesting the emerging economies as being the most sensitive ones to the global economic cycles.",
    	archiveprefix = "arXiv",
    	arxivid = "1508.03533",
    	author = "Saracco, Fabio and {Di Clemente}, Riccardo and Gabrielli, Andrea and Squartini, Tiziano",
    	doi = "10.1038/srep30286",
    	eprint = "1508.03533",
    	issn = "2045-2322",
    	journal = "Scientific Reports",
    	month = "jul",
    	pages = 30286,
    	title = "{Detecting early signs of the 2007–2008 crisis in the world trade}",
    	url = "http://www.nature.com/articles/srep30286 http://arxiv.org/abs/1508.03533 http://dx.doi.org/10.1038/srep30286",
    	volume = 6,
    	year = 2016
    }
    
  20. Luca Valori, Giovanni Luca Giannuzzi, Angelo Facchini, Tiziano Squartini, Diego Garlaschelli and Riccardo Basosi. A generation-attraction model for renewable energy flows in Italy: A complex network approach. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS 225(10):1913–1927, October 2016. DOI BibTeX

    @article{ISI:000386269200004,
    	abstract = "In recent years, in Italy, the trend of the electricity demand and the need to connect a large number of renewable energy power generators to the power-grid, developed a novel type of energy transmission/distribution infrastructure. The Italian Transmission System Operator (TSO) and the Distribution System Operator (DSO), worked on a new infrastructural model, based on electronic meters and information technology. In pursuing this objective it is crucial importance to understand how even more larger shares of renewable energy can be fully integrated, providing a constant and reliable energy background over space and time. This is particularly true for intermittent sources as photovoltaic installations due to the fine-grained distribution of them across the Country. In this work we use an over-simplified model to characterize the Italian power grid as a graph whose nodes are Italian municipalities and the edges cross the administrative boundaries between a selected municipality and its first neighbours, following a Delaunay triangulation. Our aim is to describe the power flow as a diffusion process over a network, and using open data on the solar irradiation at the ground level, we estimate the production of photovoltaic energy in each node. An attraction index was also defined using demographic data, in accordance with average per capita energy consumption data. The available energy on each node was calculated by finding the stationary state of a generation-attraction model.",
    	author = "Valori, Luca and Giannuzzi, Giovanni Luca and Facchini, Angelo and Squartini, Tiziano and Garlaschelli, Diego and Basosi, Riccardo",
    	doi = "10.1140/epjst/e2016-60019-3",
    	issn = "1951-6355",
    	journal = "EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS",
    	month = "oct",
    	number = 10,
    	pages = "1913--1927",
    	title = "{A generation-attraction model for renewable energy flows in Italy: A complex network approach}",
    	volume = 225,
    	year = 2016
    }
    
  21. Giampiero Bardella, Angelo Bifone, Andrea Gabrielli, Alessandro Gozzi and Tiziano Squartini. Hierarchical organization of functional connectivity in the mouse brain: a complex network approach. SCIENTIFIC REPORTS 6, August 2016. DOI BibTeX

    @article{ISI:000381606700001,
    	abstract = "This paper represents a contribution to the study of the brain functional connectivity from the perspective of complex networks theory. More specifically, we apply graph theoretical analyses to provide evidence of the modular structure of the mouse brain and to shed light on its hierarchical organization. We propose a novel percolation analysis and we apply our approach to the analysis of a resting-state functional MRI data set from 41 mice. This approach reveals a robust hierarchical structure of modules persistent across different subjects. Importantly, we test this approach against a statistical benchmark (or null model) which constrains only the distributions of empirical correlations. Our results unambiguously show that the hierarchical character of the mouse brain modular structure is not trivially encoded into this lower-order constraint. Finally, we investigate the modular structure of the mouse brain by computing the Minimal Spanning Forest, a technique that identifies subnetworks characterized by the strongest internal correlations. This approach represents a faster alternative to other community detection methods and provides a means to rank modules on the basis of the strength of their internal edges.",
    	author = "Bardella, Giampiero and Bifone, Angelo and Gabrielli, Andrea and Gozzi, Alessandro and Squartini, Tiziano",
    	doi = "10.1038/srep32060",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "aug",
    	title = "{Hierarchical organization of functional connectivity in the mouse brain: a complex network approach}",
    	volume = 6,
    	year = 2016
    }
    
  22. Valerio Gemmetto, Tiziano Squartini, Francesco Picciolo, Franco Ruzzenenti and Diego Garlaschelli. Multiplexity and multireciprocity in directed multiplexes. Physical Review E 94(042316), 2016. URL BibTeX

    @article{gemmetto2014multiplexity,
    	abstract = "In the last few years, the study of multi-layer complex networks has received significant attention. In this work, we provide new measures to analyse dependencies between directed links in different layers of multiplex networks. We show that this requires more than a straightforward extension of the corresponding multiplexity measures that have been developed for undirected multiplexes. In particular, one should take into account the effects of reciprocity, i.e. the tendency of pairs of vertices to establish mutual connections. It is well known that reciprocity is a crucial property of many directed single-layer networks, affecting several dynamical processes taking place on such systems. Here we extend this quantity to directed multiplexes and introduce the notion of multireciprocity, defined as the tendency of links in one layer to be reciprocated by links in a different layer. We introduce multireciprocity measures valid for both binary and weighted networks and then validate these novel quantities on the World Trade Multiplex (WTM), representing the import-export bilateral relations between world countries in different commodities. We show that several pairs of layers exhibit strong multiplexity, an effect which can however be largely encoded into the degree or strength sequences of the various layers. Moreover, we find that most of the pairs of commodities are characterised by positive multireciprocities, even though such values are significantly lower than the usual reciprocity measured on the aggregated network. These results confirm that a multiplex approach to the phenomenon of reciprocity conveys much more information than the analysis of the aggregated network does.",
    	archiveprefix = "arXiv",
    	arxivid = "1411.1282",
    	author = "Gemmetto, Valerio and Squartini, Tiziano and Picciolo, Francesco and Ruzzenenti, Franco and Garlaschelli, Diego",
    	eprint = "1411.1282",
    	journal = "Physical Review E",
    	number = 042316,
    	title = "{Multiplexity and multireciprocity in directed multiplexes}",
    	url = "http://arxiv.org/abs/1411.1282",
    	volume = 94,
    	year = 2016
    }