The Book of Trees is now available!      See other retailers
Home     About     VC Book     Stats     Blog     Books     Links     Contact  
Search the VC database:
    Business Networks   < Prev | 21 of 50 | Next >
The materials shown on this page are copyright protected by
their authors and/or respective institutions.
The Product Space and the Wealth of Nations
Author(s):
C. A. Hidalgo. R. B. Klinger, A. L. Barabasi, R. Hausmann
Institution:
Center for Complex Network Research and Dept of Physics - University of Notre Dame, Center for International Development Kennedy School of Government - Harvard University
Year:
2007
URL:
http://www.nd.edu/~networks/productspace/
Project Description:
The concept of proximity formalizes the intuitive idea that the ability of a country to produce a product depends on its ability to produce other ones. For example, a country with the ability to export apples will probably have most of the conditions suitable to export pears. Unfortunately this intuitive definition of proximity is, very cumbersome to measure. It requires quantifying the overlap between the set of markets related to each product. On the paper "The Product Space Conditions the Development of Nations", published at Science magazine, the authors explain how they've measured proximity by using an outcome based method founded on the assumption that similar products are more likely to be exported in tandem.

The authors generated a network representation of the original proximity matrix to help them develop intuition about its structure as well as to visualize and study the dynamics of countries on it. The matrix representing the product space has many small values which represent weak connections between products. That is why a network representation becomes an adequate way to layout the products, giving the researchers a quick visual way to show the relevant links and to determine where countries are located and where they could be headed.

Another advantage of using a network representation is that we can simultaneously look at the structure of the space and other covariates. In this case, the authors painted the network using the product classifications performed by Edward E. Leamer, and made the size of the nodes proportional to the money moved by that particular industry or World Trade. To give a sense of the proximity of the links involved in our network representation we color coded them by using dark red and blue for strong links; and yellow and light blue for weaker ones.

To see the full list of country maps click here.

Comments (1):
These maps are amazing and are available in PDF + EPS formats for a huge list of countries. The link to the list of country maps appear to be mislinked. It should be: http://www.nd.edu/~networks/productspace/country.htm Quoted from the Web site: "we present the location on the product space for all the countries in the years 1985 and 2000. Remember that .eps and .pdf files are vector images so you can zoom as much as you want and would not loose resolution" Highly recommended.

Posted by See-ming Lee on Sep 5, 2007 at 4:28 PM (GMT)

*Note* Before you submit your comment, bear in mind there's no guarantee it will be seen by this project's author. In case you want to contact the author directly, please follow the provided URL.
Leave a Comment:
* COMMENTS HAVE BEEN TEMPORARILY DISABLED *
(We're looking for the best solution to avoid unwanted SPAM)
Manuel Lima | VisualComplexity.com