articles by Riccardo Di Clemente
Randomizing bipartite networks: the case of the World Trade Web
Statistically validated network of portfolio overlaps and systemic risk
From innovation to diversification: a simple competitive model
Detecting early signs of the 2007-2008 crisis in the world trade
Inferring monopartite projections of bipartite networks: an entropy-based approach
Diversification versus specialization in complex ecosystems
The Italian primary school-size distribution and the city-size: a complex nexus
Sequence of purchases in credit card data reveal life styles in urban populations
Statistical agent based modelization of the phenomenon of drug abuse
Big Data and the Well-Being of Women and Girls: Applications on the Social Scientific Frontier
Spatial diffusion and churn of social media
Big Data Fusion to Estimate Fuel Consumption: A Case Study of Riyadh
Complex delay dynamics on railway networks: from universal laws to realistic modelling
Epidemics of Liquidity Shortages in Interbank Markets
The Build-Up of Diversity in Complex Ecosystems
Essays on economic and social complexity
Papers by Riccardo Di Clemente
Nestedness & Assortativity
<p>The distributions for the nestedness values (obtained employing NODF, the definition by ... more <p>The distributions for the nestedness values (obtained employing NODF, the definition by [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref032" target="_blank">32</a>]) and assortativity index <i>r</i> (obtained employing the definition by [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref033" target="_blank">33</a>]) for 50 simulations with initial conditions <i>N</i><sub>roots</sub> = 20 and <i>P</i><sub>0</sub> = 0.3 and parameters <i>α</i> = 1.55, <i>β</i> = 0.8, <i>γ</i> = 0.3, <i>k</i><sup>0</sup> = 4. In <b>a)</b>) the total NODF, in <b>b)</b> the NODF for rows and in <b>c)</b> the one for columns. The red line is the observed value for the year 1980 from the dataset of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref025" target="_blank">25</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref026" target="_blank">26</a>], the blue dashed lines bind the area between the second and the first 3-quantiles, while the purple line the area between between the 975th and 25th permilles. For the 4 distributions, real values easily fit in the 95%; anyway, for NODF values the real values lie just outside the central third of the probability. Notice the similar distributions for NODF<sub><i>t</i></sub> and NODF<sub><i>p</i></sub>, as explained in Eq S6 in Supporting Information in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.s001" target="_blank">S1 File</a>. In <b>d)</b> the distribution for the assortativity values (obtained employing the definition by [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref033" target="_blank">33</a>]): Even if the distribution is quite weird, the value measured on the real matrix is just outside the area containing the 33% of the distribution.</p
The phase diagram of the model obtained numerically
<p>The diversification barrier <i>α</i> decreases in tolerant ecosystems and wi... more <p>The diversification barrier <i>α</i> decreases in tolerant ecosystems and with increasing easiness of diversification <i>P<sub>div</sub></i>. The numbers indicate the phase diagram zones explored by the model “countries” whose scatter plot of performance versus diversification are reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112525#pone-0112525-g003" target="_blank">Fig. 3</a>. As green zone are populated by high diversification barrier “countries”, while purple zone by the lower barrier “countries”.</p
Model Results
<p>In <b>(a)</b> the scatter plot of Fitness ranking against countries diversif... more <p>In <b>(a)</b> the scatter plot of Fitness ranking against countries diversification, while in <b>(b)</b> the one for Quality ranking against products ubiquity; the blue points represent the observed values (for the year 1980 from the dataset of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref025" target="_blank">25</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref026" target="_blank">26</a>]). The black line represents the average value on the simulations, while the grey lines bind the area between the second and the first 3-quantiles (dot-dashed) and between the 975th and 25th permilles (dashed). The data obtained are for initial conditions <i>N</i><sub>roots</sub> = 20 and <i>P</i><sub>0</sub> = 0.3 and parameters <i>α</i> = 1.55, <i>β</i> = 0.8, <i>γ</i> = 0.3, <i>k</i><sup>0</sup> = 4. In the ∼82% the observed data fall into the area between 975th and 25th permilles for the fitness distribution, ∼75% for the quality distribution. In <b>(c)</b> the original matrix for 1980 from the dataset of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref025" target="_blank">25</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140420#pone.0140420.ref026" target="_blank">26</a>]; in <b>(d)</b> one of the synthetic matrix for initial conditions <i>N</i><sub>roots</sub> = 20 and <i>P</i><sub>0</sub> = 0.3 and parameters <i>α</i> = 1.65, <i>β</i> = 1.1, <i>γ</i> = 0.6, <i>k</i><sup>0</sup> = 4.</p
PNAS Nexus
Core objectives of European common market integration are convergence and economic growth, but th... more Core objectives of European common market integration are convergence and economic growth, but these are hampered by redundancy, and value chain asymmetries. The challenge is how to harmonize labor division to reach global competitiveness, meanwhile bridging productivity differences across the EU. We develop a bipartite network approach to trace pairwise co-specialization by applying the revealed comparative advantage method within and between the EU15 and Central and Eastern European (CEE). This approach assesses redundancies and the division of labor in the EU at the level of industries and countries. We find significant co-specialization among CEE countries but a diverging specialization between EU15 and CEE. Productivity increases in those CEE industries that have co-specialized with other CEE countries after EU accession, while co-specialization across CEE and EU15 countries is less related to productivity growth. These results show that a division of sectoral specialization ca...
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articles by Riccardo Di Clemente
Papers by Riccardo Di Clemente