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New PDF release: Advances in Network Science: 12th International Conference

By Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi

ISBN-10: 331928360X

ISBN-13: 9783319283609

ISBN-10: 3319283618

ISBN-13: 9783319283616

This publication constitutes the refereed court cases of the twelfth overseas convention and college of community technological know-how, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.

The 12 complete and six brief papers have been rigorously reviewed and chosen from fifty nine submissions. The papers take care of the research of community versions in domain names starting from biology and physics to computing device technological know-how, from monetary markets to cultural integration, and from social media to infectious diseases.

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Extra resources for Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings

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Social media fingerprints of unemployment. 3140 (2014) 6. : 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.

Our analysis is performed on national GDP data, because regional GDP data is disclosed only with a yearly aggregation. 001). This is because Italy has a high variation on the North-South axis, which we cover, while the West-East variation, which we cannot cover, is very low. lang=en&themetreeid=91, September 23rd, 2015. date of last access: Going Beyond GDP to Nowcast Well-Being Using Retail Market Data 4 33 Methodology In this section we present the methodology implemented for the paper. First, we present the algorithm we use to estimate the measure of sophistication (Sect.

5. The relation between GDP and IQM customer expenditure (left) and IQM number of items purchased (right). which hit Italy particularly hard starting from the first quarter of 2009. However, the average expenditure in the observed supermarket has not been affected at all. Also the number of items has not been affected. 01). Fig. 6. The relation between GDP and IQM customer (left) and product (right) sophistication. Turning to our sophistication measure, Fig. 6 depicts the relation between GDP and our complex measures of sophistication.

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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


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