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          <dc:identifier>https://hdl.handle.net/2286/R.I.43722</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
                  <dc:date>2017-05</dc:date>
                  <dc:format>17 pages</dc:format>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Kadambi, Sagarika Sanjay</dc:contributor>
          <dc:contributor>Maciejewski, Ross</dc:contributor>
          <dc:contributor>Shutters, Shade</dc:contributor>
          <dc:contributor>Computer Science and Engineering Program</dc:contributor>
          <dc:contributor>Barrett, The Honors College</dc:contributor>
                  <dc:type>Text</dc:type>
                  <dc:description>Global violent conflict has become an increasing problem in recent decades, especially in the African continent. Civil wars, terrorism, riots, and political violence has wrought havoc not only on civilian lives, but also on economic foundations. Trade networks are a way to measure these economic foundations. To summarize trade networks clustering coefficient as well as trade quantity/value summation measures are used. To understand effects of global trade on violent conflict, Pearson product-moment correlations are utilized. This work details a comparison of African national economies and violent conflict events using clustering coefficient, trade summation measures and Pearson correlation coefficient.</dc:description>
                  <dc:subject>Political Violence</dc:subject>
          <dc:subject>Food security</dc:subject>
          <dc:subject>Computer Science</dc:subject>
                  <dc:title>Visual Analytics and the Impact of Inter-Country Trade on Violence</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
