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SmartData Collective > Big Data > Data Visualization > Visualizing Reuters Editorial Investment
Data Visualization

Visualizing Reuters Editorial Investment

matthewhurst
Last updated: 2011/12/26 at 7:58 AM
matthewhurst
1 Min Read
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This is a very early view of a work in progress. The process is to crawl Reuters, extract the attribution of each article (writers and editors) and extract the mention of country names. Then, using gephi, to visualize the relationships, thus – in this case – showing which editors are associated with the mention of which countries. In this snippet, countries have mutual links (red) with other countries they are collocated with. Editors have directed edges (green) with the country mentions they are associated with.

This is a very early view of a work in progress. The process is to crawl Reuters, extract the attribution of each article (writers and editors) and extract the mention of country names. Then, using gephi, to visualize the relationships, thus – in this case – showing which editors are associated with the mention of which countries. In this snippet, countries have mutual links (red) with other countries they are collocated with. Editors have directed edges (green) with the country mentions they are associated with.

CountriesEditors

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matthewhurst December 26, 2011 December 26, 2011
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