↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

policy
1 policy source
twitter
17 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
101 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.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 6 6%
Portugal 2 2%
Switzerland 2 2%
Netherlands 2 2%
Mexico 1 <1%
Luxembourg 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 85 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Researcher 26 26%
Student > Doctoral Student 9 9%
Professor 8 8%
Student > Master 7 7%
Other 24 24%
Readers by discipline Count As %
Economics, Econometrics and Finance 26 26%
Physics and Astronomy 21 21%
Unspecified 12 12%
Business, Management and Accounting 8 8%
Computer Science 7 7%
Other 27 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 January 2019.
All research outputs
#1,083,476
of 13,232,126 outputs
Outputs from PLoS ONE
#17,939
of 141,721 outputs
Outputs of similar age
#7,393
of 86,152 outputs
Outputs of similar age from PLoS ONE
#232
of 1,818 outputs
Altmetric has tracked 13,232,126 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 87% 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 86,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1,818 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.