By Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi
This e-book constitutes the refereed complaints of the twelfth foreign convention and faculty of community technological know-how, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.
The 12 complete and six brief papers have been conscientiously reviewed and chosen from fifty nine submissions. The papers take care of the examine of community versions in domain names starting from biology and physics to laptop technological know-how, from monetary markets to cultural integration, and from social media to infectious diseases.
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Additional info for Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings
The parable of google ﬂu: traps in big data analysis. Science 343, 1203–1205 (2014) 7. : Nowcasting: the real-time informational content of macroeconomic data. J. Monetary Econ. 55(4), 665–676 (2008) 8. : A comparison of mixed frequency approaches for nowcasting euro area macroeconomic aggregates. Int. J. Forecast. 30(3), 554–568 (2014) 9. : Nowcasting indicators of poverty risk in the european union: a microsimulation approach. Soc. Indic. Res. 119(1), 101–119 (2014) 10. : Nowcasting the income distribution in europe (2014) 11.
30(3), 554–568 (2014) 9. : Nowcasting indicators of poverty risk in the european union: a microsimulation approach. Soc. Indic. Res. 119(1), 101–119 (2014) 10. : Nowcasting the income distribution in europe (2014) 11. : The Atlas of Economic Complexity. Puritan Press, Boston (2011) 12. : A network analysis of countries export ﬂows: ﬁrm grounds for the building blocks of the economy. PLoS ONE 7(10), e47278 (2012) 42 R. Guidotti et al. 13. : Feature selection, association rules network and theory building.
Second, the methodologies present in literature are all ﬁne-tuned to speciﬁc phenomena that are not comparable to the shopping patterns we are observing. Thus we cannot apply them to our sophistication timelines. Given that we are not able to make a seasonal adjustment for the sophistication, we chose to not seasonally adjust GDP too. We acknowledge this as a limitation of our study and we leave the development of a seasonal adjustment for sophistication as a future work. 5 Experiments In this section we test the relation between the statistical properties of the bipartite networks generated with our methodology and the GDP values of the country.
Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings by Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi