1. Marco Scutari, Pietro Auconi, Guido Caldarelli and Lorenzo Franchi. Bayesian Networks Analysis of Malocclusion Data. SCIENTIFIC REPORTS 7, November 2017. DOI BibTeX

    @article{ISI:000414917000002,
    	abstract = "In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start from a sample of 143 patients characterised through a series of a maximum of 21 different craniofacial features. We estimate a network model from these data and we test its consistency by verifying some commonly accepted hypotheses on the evolution of these disharmonies by means of Bayesian statistics. We show that untreated subjects develop different Class III craniofacial growth patterns as compared to patients submitted to orthodontic treatment with rapid maxillary expansion and facemask therapy. Among treated patients the CoA segment (the maxillary length) and the ANB angle (the antero-posterior relation of the maxilla to the mandible) seem to be the skeletal subspaces that receive the main effect of the treatment.",
    	author = "Scutari, Marco and Auconi, Pietro and Caldarelli, Guido and Franchi, Lorenzo",
    	doi = "10.1038/s41598-017-15293-w",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "nov",
    	title = "{Bayesian Networks Analysis of Malocclusion Data}",
    	volume = 7,
    	year = 2017
    }
    
  2. Tiziano Squartini, Assaf Almog, Guido Caldarelli, Iman Lelyveld, Diego Garlaschelli and Giulio Cimini. Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks. PHYSICAL REVIEW E 96(3), September 2017. DOI BibTeX

    @article{ISI:000411991200003,
    	abstract = "Reconstructing patterns of interconnections from partial information is one of the most important issues in the statistical physics of complex networks. A paramount example is provided by financial networks. In fact, the spreading and amplification of financial distress in capital markets are strongly affected by the interconnections among financial institutions. Yet, while the aggregate balance sheets of institutions are publicly disclosed, information on single positions is mostly confidential and, as such, unavailable. Standard approaches to reconstruct the network of financial interconnection produce unrealistically dense topologies, leading to a biased estimation of systemic risk. Moreover, reconstruction techniques are generally designed for monopartite networks of bilateral exposures between financial institutions, thus failing in reproducing bipartite networks of security holdings (e.g., investment portfolios). Here we propose a reconstruction method based on constrained entropy maximization, tailored for bipartite financial networks. Such a procedure enhances the traditional capital-asset pricing model (CAPM) and allows us to reproduce the correct topology of the network. We test this enhanced CAPM (ECAPM) method on a dataset, collected by the European Central Bank, of detailed security holdings of European institutional sectors over a period of six years (2009-2015). Our approach outperforms the traditional CAPM and the recently proposed maximum-entropy CAPM both in reproducing the network topology and in estimating systemic risk due to fire sales spillovers. In general, ECAPM can be applied to the whole class of weighted bipartite networks described by the fitness model.",
    	author = "Squartini, Tiziano and Almog, Assaf and Caldarelli, Guido and van Lelyveld, Iman and Garlaschelli, Diego and Cimini, Giulio",
    	doi = "10.1103/PhysRevE.96.032315",
    	issn = "2470-0045",
    	journal = "PHYSICAL REVIEW E",
    	month = "sep",
    	number = 3,
    	title = "{Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks}",
    	volume = 96,
    	year = 2017
    }
    
  3. Gianna Vivaldo, Elisa Masi, Cosimo Taiti, Guido Caldarelli and Stefano Mancuso. The network of plants volatile organic compounds. SCIENTIFIC REPORTS 7, September 2017. DOI BibTeX

    @article{ISI:000409841100112,
    	abstract = "Plants emission of Volatile Organic Compounds (VOCs) is involved in a wide class of ecological functions, as VOCs play a crucial role in plants interactions with biotic and abiotic factors. Accordingly, they vary widely across species and underpin differences in ecological strategy. In this paper, VOCs spontaneously emitted by 109 plant species (belonging to 56 different families) have been qualitatively and quantitatively analysed in order to provide an alternative classification of plants species. In particular, by using bipartite networks methodology from Complex Network Theory, and through the application of community detection algorithms, we show that is possible to classify species according to chemical classes such as terpenes and sulfur compounds. Such complex network analysis allows to uncover hidden plants relationships related to their evolutionary and adaptation to the environment story.",
    	author = "Vivaldo, Gianna and Masi, Elisa and Taiti, Cosimo and Caldarelli, Guido and Mancuso, Stefano",
    	doi = "10.1038/s41598-017-10975-x",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "sep",
    	title = "{The network of plants volatile organic compounds}",
    	volume = 7,
    	year = 2017
    }
    
  4. Mika J Straka, Guido Caldarelli and Fabio Saracco. Grand canonical validation of the bipartite international trade network. PHYSICAL REVIEW E 96(2), August 2017. DOI BibTeX

    @article{ISI:000407098400004,
    	abstract = "Devising strategies for economic development in a globally competitive landscape requires a solid and unbiased understanding of countries' technological advancements and similarities among export products. Both can be addressed through the bipartite representation of the International Trade Network. In this paper, we apply the recently proposed grand canonical projection algorithm to uncover country and product communities. Contrary to past endeavors, our methodology, based on information theory, creates monopartite projections in an unbiased and analytically tractable way. Single links between countries or products represent statistically significant signals, which are not accounted for by null models such as the bipartite configuration model. We find stable country communities reflecting the socioeconomic distinction in developed, newly industrialized, and developing countries. Furthermore, we observe product clusters based on the aforementioned country groups. Our analysis reveals the existence of a complicated structure in the bipartite International Trade Network: apart from the diversification of export baskets from the most basic to the most exclusive products, we observe a statistically significant signal of an export specialization mechanism towards more sophisticated products.",
    	author = "Straka, Mika J and Caldarelli, Guido and Saracco, Fabio",
    	doi = "10.1103/PhysRevE.96.022306",
    	issn = "2470-0045",
    	journal = "PHYSICAL REVIEW E",
    	month = "aug",
    	number = 2,
    	title = "{Grand canonical validation of the bipartite international trade network}",
    	volume = 96,
    	year = 2017
    }
    
  5. Pietro Auconi, Marco Scazzocchio, Guido Caldarelli, Michele Nieri, James A McNamara and Lorenzo Franchi. Understanding interactions among cephalometrics variables during growth in untreated Class III subjects. EUROPEAN JOURNAL OF ORTHODONTICS 39(4):395–401, August 2017. DOI BibTeX

    @article{ISI:000407226400008,
    	abstract = "Objective: The aim of the present study was to apply a computational method commonly used in data mining discipline, classification trees (CTs), to evaluate the growth features in untreated Class III subjects. Materials and methods: CT was applied to data from 91 untreated Class III subjects (48 females and 43 males) and compared with the results of discriminant analysis (DA). For all subjects, lateral cephalograms were available at T1 (mean age 10.4 +/- 2.0 years) and at T2 (mean age 15.4 +/- 1.9 years). A cephalometric analysis comprising 11 variables was performed. The subjects were divided into two subgroups, unfavourable ('Bad') and favourable ('Good') growers, according to the quality of the skeletal growth rate in comparison with the normal craniofacial growth. Results: CTs showed that the most informative attribute for the prediction of favourable/unfavourable skeletal growth was the SNA angle. Subjects with SNA values lower than 79.1 degrees showed a risk of 94 per cent of growing unfavourably. DA was able to select palatal plane to mandibular plane angle as predictors. DA, however, showed a statistically significant higher rate of misclassification when compared with CTs (40.7 per cent versus 12.1 per cent, binomial exact test: odds ratio = 6.20; P {\textless} 0.0001). Conclusions: CTs provided a valid measure of elucidating the effective contribution of craniofacial characteristics in predicting favourable/unfavourable growth in untreated Class III subjects.",
    	author = "Auconi, Pietro and Scazzocchio, Marco and Caldarelli, Guido and Nieri, Michele and McNamara, James A and Franchi, Lorenzo",
    	doi = "10.1093/ejo/cjw084",
    	issn = "0141-5387",
    	journal = "EUROPEAN JOURNAL OF ORTHODONTICS",
    	month = "aug",
    	number = 4,
    	pages = "395--401",
    	title = "{Understanding interactions among cephalometrics variables during growth in untreated Class III subjects}",
    	volume = 39,
    	year = 2017
    }
    
  6. Fabiana Zollo, Alessandro Bessi, Michela Del Vicario, Antonio Scala, Guido Caldarelli, Louis Shekhtman, Shlomo Havlin and Walter Quattrociocchi. Debunking in a world of tribes. PLOS ONE 12(7), July 2017. DOI BibTeX

    @article{ISI:000406362700076,
    	abstract = "Social media aggregate people around common interests eliciting collective framing of narratives and worldviews. However, in such a disintermediated environment misinformation is pervasive and attempts to debunk are often undertaken to contrast this trend. In this work, we examine the effectiveness of debunking on Facebook through a quantitative analysis of 54 million users over a time span of five years (Jan 2010, Dec 2014). In particular, we compare how users usually consuming proven (scientific) and unsubstantiated (conspiracy-like) information on Facebook US interact with specific debunking posts. Our findings confirm the existence of echo chambers where users interact primarily with either conspiracy-like or scientific pages. However, both groups interact similarly with the information within their echo chamber. Then, we measure how users from both echo chambers interacted with 50,220 debunking posts accounting for both users consumption patterns and the sentiment expressed in their comments. Sentiment analysis reveals a dominant negativity in the comments to debunking posts. Furthermore, such posts remain mainly confined to the scientific echo chamber. Only few conspiracy users engage with corrections and their liking and commenting rates on conspiracy posts increases after the interaction.",
    	author = "Zollo, Fabiana and Bessi, Alessandro and {Del Vicario}, Michela and Scala, Antonio and Caldarelli, Guido and Shekhtman, Louis and Havlin, Shlomo and Quattrociocchi, Walter",
    	doi = "10.1371/journal.pone.0181821",
    	issn = "1932-6203",
    	journal = "PLOS ONE",
    	month = "jul",
    	number = 7,
    	title = "{Debunking in a world of tribes}",
    	volume = 12,
    	year = 2017
    }
    
  7. Rossana Mastrandrea, Andrea Gabrielli, Fabrizio Piras, Gianfranco Spalletta, Guido Caldarelli and Tommaso Gili. Organization and hierarchy of the human functional brain network lead to a chain-like core. SCIENTIFIC REPORTS 7, July 2017. DOI BibTeX

    @article{ISI:000404970900050,
    	abstract = "The brain is a paradigmatic example of a complex system: its functionality emerges as a global property of local mesoscopic and microscopic interactions. Complex network theory allows to elicit the functional architecture of the brain in terms of links (correlations) between nodes (grey matter regions) and to extract information out of the noise. Here we present the analysis of functional magnetic resonance imaging data from forty healthy humans at rest for the investigation of the basal scaffold of the functional brain network organization. We show how brain regions tend to coordinate by forming a highly hierarchical chain-like structure of homogeneously clustered anatomical areas. A maximum spanning tree approach revealed the centrality of the occipital cortex and the peculiar aggregation of cerebellar regions to form a closed core. We also report the hierarchy of network segregation and the level of clusters integration as a function of the connectivity strength between brain regions.",
    	author = "Mastrandrea, Rossana and Gabrielli, Andrea and Piras, Fabrizio and Spalletta, Gianfranco and Caldarelli, Guido and Gili, Tommaso",
    	doi = "10.1038/s41598-017-04716-3",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "jul",
    	title = "{Organization and hierarchy of the human functional brain network lead to a chain-like core}",
    	volume = 7,
    	year = 2017
    }
    
  8. Michela Del Vicario, Fabiana Zollo, Guido Caldarelli, Antonio Scala and Walter Quattrociocchi. Mapping social dynamics on Facebook: The Brexit debate. SOCIAL NETWORKS 50:6–16, July 2017. DOI BibTeX

    @article{ISI:000403527900002,
    	abstract = "Nowadays users get informed and shape their opinion through social media. However, the disintermediated access to contents does not guarantee quality of information. Selective exposure and confirmation bias, indeed, have been shown to play a pivotal role in content consumption and information spreading. Users tend to select information adhering (and reinforcing) their worldview and to ignore dissenting information. This pattern elicits the formation of polarized groups - i.e., echo chambers where the interaction with like-minded people might even reinforce polarization. In this work we address news consumption around Brexit in UK on Facebook. In particular, we perform a massive analysis on more than I million users interacting with Brexit related posts from the main news providers between January and July 2016. We show that consumption patterns elicit the emergence of two distinct communities of news outlets. Furthermore, to better characterize inner group dynamics, we introduce a new technique which combines automatic topic extraction and sentiment analysis. We compare how the same topics are presented on posts and the related emotional response on comments finding significant differences in both echo chambers and that polarization influences the perception of topics. Our results provide important insights about the determinants of polarization and evolution of core narratives on online debating. (C) 2017 Elsevier B.V. All rights reserved.",
    	author = "{Del Vicario}, Michela and Zollo, Fabiana and Caldarelli, Guido and Scala, Antonio and Quattrociocchi, Walter",
    	doi = "10.1016/j.socnet.2017.02.002",
    	issn = "0378-8733",
    	journal = "SOCIAL NETWORKS",
    	month = "jul",
    	pages = "6--16",
    	title = "{Mapping social dynamics on Facebook: The Brexit debate}",
    	volume = 50,
    	year = 2017
    }
    
  9. Fabio Saracco, Mika J Straka, Riccardo Di Clemente, Andrea Gabrielli, Guido Caldarelli and Tiziano Squartini. Inferring monopartite projections of bipartite networks: an entropy-based approach. NEW JOURNAL OF PHYSICS 19, May 2017. DOI BibTeX

    @article{ISI:000402532100008,
    	abstract = "Bipartite networks are currently regarded as providing a major insight into the organization of many real-world systems, unveiling the mechanisms driving the interactions occurring between distinct groups of nodes. One of the most important issues encountered when modeling bipartite networks is devising a way to obtain a (monopartite) projection on the layer of interest, which preserves as much as possible the information encoded into the original bipartite structure. In the present paper we propose an algorithm to obtain statistically-validated projections of bipartite networks, according to which any two nodes sharing a statistically-significant number of neighbors are linked. Since assessing the statistical significance of nodes similarity requires a proper statistical benchmark, here we consider a set of four null models, defined within the exponential random graph framework. Our algorithm outputs a matrix of link-specific p-values, from which a validated projection is straightforwardly obtainable, upon running a multiple hypothesis testing procedure. Finally, we test our method on an economic network (i.e.the countries-products World Trade Web representation) and a social network (i.e. MovieLens, collecting the users' ratings of a list of movies). In both cases non-trivial communities are detected: while projecting the World Trade Web on the countries layer reveals modules of similarly-industrialized nations, projecting it on the products layer allows communities characterized by an increasing level of complexity to be detected; in the second case, projecting MovieLens on the films layer allows clusters of movies whose affinity cannot be fully accounted for by genre similarity to be individuated.",
    	author = "Saracco, Fabio and Straka, Mika J and {Di Clemente}, Riccardo and Gabrielli, Andrea and Caldarelli, Guido and Squartini, Tiziano",
    	doi = "10.1088/1367-2630/aa6b38",
    	issn = "1367-2630",
    	journal = "NEW JOURNAL OF PHYSICS",
    	month = "may",
    	title = "{Inferring monopartite projections of bipartite networks: an entropy-based approach}",
    	volume = 19,
    	year = 2017
    }
    
  10. Ana Lucía Schmidt, Fabiana Zollo, Michela Del Vicario, Alessandro Bessi, Antonio Scala, Guido Caldarelli, Eugene H Stanley and Walter Quattrociocchi. Anatomy of news consumption on Facebook. Proceedings of the National Academy of Sciences 114(12):3035–3039, March 2017. URL, DOI BibTeX

    @article{Schmidt2017,
    	abstract = {The advent of social media and microblogging platforms has radically changed the way we consume information and form opinions. In this paper, we explore the anatomy of the information space on Facebook by characterizing on a global scale the news consumption patterns of 376 million users over a time span of 6 y (January 2010 to December 2015). We find that users tend to focus on a limited set of pages, producing a sharp community structure among news outlets. We also find that the preferences of users and news providers differ. By tracking how Facebook pages "like" each other and examining their geolocation, we find that news providers are more geographically confined than users. We devise a simple model of selective exposure that reproduces the observed connectivity patterns.},
    	archiveprefix = "arXiv",
    	arxivid = "arXiv:1510.04267",
    	author = "Schmidt, Ana Luc{\'{i}}a and Zollo, Fabiana and Vicario, Michela Del and Bessi, Alessandro and Scala, Antonio and Caldarelli, Guido and Stanley, H Eugene and Quattrociocchi, Walter",
    	doi = "10.1073/PNAS.1617052114",
    	eprint = "arXiv:1510.04267",
    	issn = "0027-8424",
    	journal = "Proceedings of the National Academy of Sciences",
    	keywords = "Facebook,computational social science,misinformation,news consumption",
    	month = "mar",
    	number = 12,
    	pages = "3035--3039",
    	pmid = 28265082,
    	publisher = "National Academy of Sciences",
    	title = "{Anatomy of news consumption on Facebook}",
    	url = "http://www.ncbi.nlm.nih.gov/pubmed/28265082 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC5373354 http://www.pnas.org/content/early/2017/02/28/1617052114.full?sid=ca1f7a2e-9c7e-4696-8f78-47252b031544",
    	volume = 114,
    	year = 2017
    }
    
  11. Matteo Serri, Guido Caldarelli and Giulio Cimini. How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation. Journal of Network Theory in Finance 3(1):1–18, November 2017. URL, DOI BibTeX

    @article{Serri2016,
    	abstract = "Assessing the stability of economic systems is a fundamental research focus in economics, that has become increasingly interdisciplinary in the currently troubled economic situation. In particular, much attention has been devoted to the interbank lending market as an important diffusion channel for financial distress during the recent crisis. In this work we study the stability of the interbank market to exogenous shocks using an agent-based network framework. Our model encompasses several ingredients that have been recognized in the literature as pro-cyclical triggers of financial distress in the banking system: credit and liquidity shocks through bilateral exposures, liquidity hoarding due to counterparty creditworthiness deterioration, target leveraging policies and fire-sales spillovers. But we exclude the possibility of central authorities intervention. We implement this framework on a dataset of 183 European banks that were publicly traded between 2004 and 2013. We document the extreme fragility of the interbank lending market up to 2008, when a systemic crisis leads to total depletion of market equity with an increasing speed of market collapse. After the crisis instead the system is more resilient to systemic events in terms of residual market equity. However, the speed at which the crisis breaks out reaches a new maximum in 2011, and never goes back to values observed before 2007. Our analysis points to the key role of the crisis outbreak speed, which sets the maximum delay for central authorities intervention to be effective.",
    	author = "Serri, Matteo and Caldarelli, Guido and Cimini, Giulio",
    	doi = "http://doi.org/10.21314/JNTF.2017.025",
    	journal = "Journal of Network Theory in Finance",
    	month = "nov",
    	number = 1,
    	pages = "1--18",
    	title = "{How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation}",
    	url = "http://arxiv.org/abs/1611.04311",
    	volume = 3,
    	year = 2017
    }
    
  12. Marco Bardoscia, Stefano Battiston, Fabio Caccioli and Guido Caldarelli. Pathways towards instability in financial networks. Nature Communications (0):7, 2017. URL, DOI BibTeX

    @article{bardoscia2016paths,
    	abstract = "There is growing consensus that processes of market integration and risk diversification may come at the price of more systemic risk. Indeed, financial institutions are interconnected in a network of contracts where distress can either be amplified or dampened. However, a mathematical understanding of instability in relation to the network topology is still lacking. In a model financial network, we show that the origin of instability resides in the presence of specific types of cyclical structures, regardless of many of the details of the distress propagation mechanism. In particular, we show the existence of trajectories in the space of graphs along which a complex network turns from stable to unstable, although at each point along the trajectory its nodes satisfy constraints that would apparently make them individually stable. In the financial context, our findings have important implications for policies aimed at increasing financial stability. We illustrate the propositions on a sample dataset for the top 50 EU listed banks between 2008 and 2013. More in general, our results shed light on previous findings on the instability of model ecosystems and are relevant for a broad class of dynamical processes on complex networks.",
    	annote = "NULL",
    	archiveprefix = "arXiv",
    	arxivid = "1602.05883",
    	author = "Bardoscia, Marco and Battiston, Stefano and Caccioli, Fabio and Caldarelli, Guido",
    	doi = "doi:10.1038/ncomms14416",
    	eprint = "1602.05883",
    	journal = "Nature Communications",
    	keywords = "DOLFINS{\_}T1.4,DOLFINS{\_}T2.1,DOLFINS{\_}WP1,DOLFINS{\_}WP2",
    	mendeley-tags = "DOLFINS{\_}T1.4,DOLFINS{\_}T2.1,DOLFINS{\_}WP1,DOLFINS{\_}WP2",
    	number = 0,
    	pages = 7,
    	title = "{Pathways towards instability in financial networks}",
    	url = "http://arxiv.org/abs/1602.05883 https://arxiv.org/abs/1602.05883",
    	year = 2017
    }
    
  13. Michela Del Vicario, Antonio Scala, Guido Caldarelli, Eugene H Stanley and Walter Quattrociocchi. Modeling confirmation bias and polarization. Scientific Reports 7:40391, June 2017. URL, DOI BibTeX

    @article{DelVicario2016a,
    	abstract = "Online users tend to select claims that adhere to their system of beliefs and to ignore dissenting information. Confirmation bias, indeed, plays a pivotal role in viral phenomena. Furthermore, the wide availability of content on the web fosters the aggregation of likeminded people where debates tend to enforce group polarization. Such a configuration might alter the public debate and thus the formation of the public opinion. In this paper we provide a mathematical model to study online social debates and the related polarization dynamics. We assume the basic updating rule of the Bounded Confidence Model (BCM) and we develop two variations a) the Rewire with Bounded Confidence Model (RBCM), in which discordant links are broken until convergence is reached; and b) the Unbounded Confidence Model, under which the interaction among discordant pairs of users is allowed even with a negative feedback, either with the rewiring step (RUCM) or without it (UCM). From numerical simulations we find that the new models (UCM and RUCM), unlike the BCM, are able to explain the coexistence of two stable final opinions, often observed in reality. Lastly, we present a mean field approximation of the newly introduced models.",
    	author = "{Del Vicario}, Michela and Scala, Antonio and Caldarelli, Guido and Stanley, H Eugene and Quattrociocchi, Walter",
    	doi = "http://doi.org/10.1038/srep40391",
    	journal = "Scientific Reports",
    	month = "jun",
    	pages = 40391,
    	title = "{Modeling confirmation bias and polarization}",
    	url = "http://arxiv.org/abs/1607.00022",
    	volume = 7,
    	year = 2017
    }
    
  14. Michela Del Vicario, Qian Zhang, Alessandro Bessi, Guido Caldarelli and Fabiana Zollo. Structural Patterns of the Occupy Movement on Facebook. In Hocine Cherifi, Sabrina Gaito, Walter Quattrociocchi and Alessandra Sala (eds.). Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016). Springer International Publishing, 2017, pages 595–606. URL, DOI BibTeX

    @incollection{DelVicario2017,
    	address = "Cham",
    	author = "{Del Vicario}, Michela and Zhang, Qian and Bessi, Alessandro and Caldarelli, Guido and Zollo, Fabiana",
    	booktitle = "Complex Networks {\&} Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016)",
    	doi = "10.1007/978-3-319-50901-3_47",
    	editor = "Cherifi, Hocine and Gaito, Sabrina and Quattrociocchi, Walter and Sala, Alessandra",
    	isbn = "978-3-319-50901-3",
    	pages = "595--606",
    	publisher = "Springer International Publishing",
    	title = "{Structural Patterns of the Occupy Movement on Facebook}",
    	url = "http://dx.doi.org/10.1007/978-3-319-50901-3{\_}47",
    	year = 2017
    }
    
  15. Aurelio Patelli, Giulio Cimini, Emanuele Pugliese and Andrea Gabrielli. The scientific influence of nations on global scientific and technological development. JOURNAL OF INFORMETRICS 11(4):1229–1237, November 2017. DOI BibTeX

    @article{ISI:000418020600022,
    	abstract = "Determining how scientific achievements influence the subsequent process of knowledge creation is a fundamental step in order to build a unified ecosystem for studying the dynamics of innovation and competitiveness. Relying separately on data about scientific production on one side, through bibliometric indicators, and about technological advancements on the other side, through patents statistics, gives only a limited insight on the key interplay between science and technology which, as a matter of fact, move forward together within the innovation space. In this paper, using citation data of both research papers and patents, we quantify the direct influence of the scientific outputs of nations on further advancements in science and on the introduction of new technologies. Our analysis highlights the presence of geo-cultural clusters of nations with similar innovation system features, and unveils the heterogeneous coupled dynamics of scientific and technological advancements. This study represents a step forward in the buildup of an inclusive framework for knowledge creation and innovation. (c) 2017 Elsevier Ltd. All rights reserved.",
    	author = "Patelli, Aurelio and Cimini, Giulio and Pugliese, Emanuele and Gabrielli, Andrea",
    	doi = "10.1016/j.joi.2017.10.005",
    	issn = "1751-1577",
    	journal = "JOURNAL OF INFORMETRICS",
    	month = "nov",
    	number = 4,
    	pages = "1229--1237",
    	title = "{The scientific influence of nations on global scientific and technological development}",
    	volume = 11,
    	year = 2017
    }
    
  16. Giulio Cimini. Evolutionary Network Games: Equilibria from Imitation and Best Response Dynamics. COMPLEXITY, 2017. DOI BibTeX

    @article{ISI:000408199800001,
    	abstract = "We consider games of strategic substitutes and complements on networks and introduce two evolutionary dynamics in order to refine their multiplicity of equilibria. Within mean field, we find that for the best-shot game, taken as a representative example of strategic substitutes, replicator-like dynamics does not lead to Nash equilibria, whereas it leads to a unique equilibrium for complements, represented by a coordination game. On the other hand, when the dynamics becomes more cognitively demanding, predictions are always Nash equilibria: for the best-shot game we find a reduced set of equilibria with a definite value of the fraction of contributors, whereas, for the coordination game, symmetric equilibria arise only for low or high initial fractions of cooperators. We further extend our study by considering complex topologies through heterogeneous mean field and show that the nature of the selected equilibria does not change for the best-shot game. However, for coordination games, we reveal an important difference: on infinitely large scale-free networks, cooperative equilibria arise for any value of the incentive to cooperate. Our analytical results are confirmed by numerical simulations and open the question of whether there can be dynamics that consistently leads to stringent equilibria refinements for both classes of games.",
    	author = "Cimini, Giulio",
    	doi = "10.1155/2017/7259032",
    	issn = "1076-2787",
    	journal = "COMPLEXITY",
    	title = "{Evolutionary Network Games: Equilibria from Imitation and Best Response Dynamics}",
    	year = 2017
    }
    
  17. Assaf Almog, Tiziano Squartini and Diego Garlaschelli. The double role of GDP in shaping the structure of the International Trade Network. INTERNATIONAL JOURNAL OF COMPUTATIONAL ECONOMICS AND ECONOMETRICS 7(4):381–398, 2017. BibTeX

    @article{ISI:000416359800003,
    	abstract = "The International Trade Network (ITN) is the network formed by trade relationships between world countries. The complex structure of the ITN impacts important economic processes such as globalization, competitiveness, and the propagation of instabilities. Modeling the structure of the ITN in terms of simple macroeconomic quantities is therefore of paramount importance. While traditional macroeconomics has mainly used the Gravity Model to characterize the magnitude of trade volumes, modern network theory has predominantly focused on modeling the topology of the ITN. Combining these two complementary approaches is still an open problem. Here we review these approaches and emphasize the double role played by GDP in empirically determining both the existence and the volume of trade linkages. Moreover, we discuss a unified model that exploits these patterns and uses only the GDP as the relevant macroeconomic factor for reproducing both the topology and the link weights of the ITN.",
    	author = "Almog, Assaf and Squartini, Tiziano and Garlaschelli, Diego",
    	issn = "1757-1170",
    	journal = "INTERNATIONAL JOURNAL OF COMPUTATIONAL ECONOMICS AND ECONOMETRICS",
    	number = 4,
    	pages = "381--398",
    	title = "{The double role of GDP in shaping the structure of the International Trade Network}",
    	volume = 7,
    	year = 2017
    }
    
  18. Marco Duenas, Rossana Mastrandrea, Matteo Barigozzi and Giorgio Fagiolo. Spatio-Temporal Patterns of the International Merger and Acquisition Network. SCIENTIFIC REPORTS 7, September 2017. DOI BibTeX

    @article{ISI:000409561800042,
    	abstract = "This paper analyses the world web of mergers and acquisitions (M{\&}As) using a complex network approach. We use data of M{\&}As to build a temporal sequence of binary and weighted-directed networks for the period 1995-2010 and 224 countries (nodes) connected according to their M{\&}As flows (links). We study different geographical and temporal aspects of the international M{\&}A network (IMAN), building sequences of filtered sub-networks whose links belong to specific intervals of distance or time. Given that M{\&}As and trade are complementary ways of reaching foreign markets, we perform our analysis using statistics employed for the study of the international trade network (ITN), highlighting the similarities and differences between the ITN and the IMAN. In contrast to the ITN, the IMAN is a low density network characterized by a persistent giant component with many external nodes and low reciprocity. Clustering patterns are very heterogeneous and dynamic. High-income economies are the main acquirers and are characterized by high connectivity, implying that most countries are targets of a few acquirers. Like in the ITN, geographical distance strongly impacts the structure of the IMAN: link-weights and node degrees have a non-linear relation with distance, and an assortative pattern is present at short distances.",
    	author = "Duenas, Marco and Mastrandrea, Rossana and Barigozzi, Matteo and Fagiolo, Giorgio",
    	doi = "10.1038/s41598-017-10779-z",
    	issn = "2045-2322",
    	journal = "SCIENTIFIC REPORTS",
    	month = "sep",
    	title = "{Spatio-Temporal Patterns of the International Merger and Acquisition Network}",
    	volume = 7,
    	year = 2017
    }