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Global Commerce as a complex network
ESS Visualisation Workshop
17 and 18 May 2016
Valencia
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Index
• What’s Kampal
• Complex networks
• Analyzed data
• WorldTrade study
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What’s Kampal
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http://www.kampal.com
http://social.kampal.com
http://research.kampal.com
Complex Networks
Football players and ball passes during a match
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Airports and routes between them
Complex Networks
Complex Networks
Complex Networks
• Analysis of data and networks
• Depending of data availability and sources
• Example: identify similar/same users in a phone company.
• Posibilities:• Monitor commetial activity
and operations.• Detect groups.
• Measure mobility
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Complex Networks
• Visualisation of “Data Matrices”
• Find groups and clusters• Use “pagerank” to find
relevant nodes
• Example: Input-Output table of Aragon economy
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Complex Networks• Example: trade between countries
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Analyzed data
• UN COMTRADE (United Nations Commodity Trade Statistics Database)
– http://comtrade.un.org/
– Public access (with limits)
– Since 1960
– Standardised official annual trade statistics
– More than 170 reporter countries
– Around 99% of the total traffic
– The biggest trade database in the world
Analyzed data
• Using a robot that queries the APIhttp://comtrade.un.org/data/doc/api/
• 2014 data divided in product imports and exports (not services) per reporter country
• SITC (Standard International Trade Classification) Revision 1 (the most complete)
– Level 2 commodity classification
• World population in 2014
Analyzed data
• More than 1.000.000 import & export reports
• More than 35 billion $ of trade
• More than 60 product categories
• Possibility to weigh by country population
• Infinite graphs available to analyze
• Deficit maps
Complex Networks• Find and Study Comunities.
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Complex Networks• Example: Electricity imports between countries
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Complex Networks• Example: betweeness of countries, network of contracts
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http://research.kampal.com/visualization/comtrade/
http://research.kampal.com/visualization/exportaciones-comtrade/