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A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy

Overview of attention for article published in PLOS ONE, October 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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16 X users
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3 Facebook pages
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1 Google+ user

Citations

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166 Dimensions

Readers on

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167 Mendeley
Title
A Network Analysis of Countries’ Export Flows: Firm Grounds for the Building Blocks of the Economy
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047278
Pubmed ID
Authors

Guido Caldarelli, Matthieu Cristelli, Andrea Gabrielli, Luciano Pietronero, Antonio Scala, Andrea Tacchella

Abstract

In this paper we analyze the bipartite network of countries and products from UN data on country production. We define the country-country and product-product projected networks and introduce a novel method of filtering information based on elements' similarity. As a result we find that country clustering reveals unexpected socio-geographic links among the most competing countries. On the same footings the products clustering can be efficiently used for a bottom-up classification of produced goods. Furthermore we mathematically reformulate the "reflections method" introduced by Hidalgo and Hausmann as a fixpoint problem; such formulation highlights some conceptual weaknesses of the approach. To overcome such an issue, we introduce an alternative methodology (based on biased Markov chains) that allows to rank countries in a conceptually consistent way. Our analysis uncovers a strong non-linear interaction between the diversification of a country and the ubiquity of its products, thus suggesting the possible need of moving towards more efficient and direct non-linear fixpoint algorithms to rank countries and products in the global market.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 6 4%
Portugal 2 1%
Switzerland 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Luxembourg 1 <1%
Unknown 153 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 22%
Student > Ph. D. Student 36 22%
Student > Master 15 9%
Professor 14 8%
Student > Bachelor 11 7%
Other 27 16%
Unknown 27 16%
Readers by discipline Count As %
Economics, Econometrics and Finance 39 23%
Physics and Astronomy 25 15%
Computer Science 11 7%
Business, Management and Accounting 10 6%
Social Sciences 10 6%
Other 34 20%
Unknown 38 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2016.
All research outputs
#2,926,053
of 23,577,654 outputs
Outputs from PLOS ONE
#37,825
of 202,026 outputs
Outputs of similar age
#20,913
of 177,664 outputs
Outputs of similar age from PLOS ONE
#684
of 4,780 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 177,664 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 4,780 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.