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Afinidades violentas: la evolución de la red de narcotraficantes del norte del Valle

Author

Listed:
  • Boris Salazar-Trujillo
  • María Isabel Caicedo-Hurtado
  • Gildardo Vanegas-Muñoz

Abstract

Resumen: Este artículo reconstruye y explica el ascenso y decadencia de la red de narcotraficantes del norte del Valle durante el período 1994-2011. Argumenta que la convergencia de las fuerzas centrífugas, propias del carácter volátil de las agrupaciones de narcotraficantes, la afinidad violenta que unía a sus jefes, la guerra contra las drogas, y los choques informativos generados por la nueva estrategia de negociación con la justicia estadounidense condujeron a su destrucción por mano propia y a la fragmentación de su estructura. Este artículo sugiere que el carácter óptimo de las estrategias de remoción del jugador clave funcionan para una red específica, pero no es efectiva en lo absoluto para las redes mutantes que surgen de los restos de las destruidas. Palabras clave: violencia criminal; redes sociales; carteles de narcotráfico; homicidios.

Suggested Citation

  • Boris Salazar-Trujillo & María Isabel Caicedo-Hurtado & Gildardo Vanegas-Muñoz, 2021. "Afinidades violentas: la evolución de la red de narcotraficantes del norte del Valle," Revista Sociedad y Economía, Universidad del Valle, CIDSE, issue 42, January.
  • Handle: RePEc:col:000172:019316
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    References listed on IDEAS

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    1. Leonardo Raffo López & José Luis Segura, 2015. "Las redes del narcotráfico y sus interacciones: un modelo teórico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 17(32), pages 183-212, January-J.
    2. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, September.
    3. Antoni Calvó-Armengol & Inés Moreno de Barreda, 2005. "Optimal Targets in Small and Large Networks, Using Game Theory," Working Papers 176, Barcelona School of Economics.
    4. Giovanni Mastrobuoni & Eleonora Patacchini, 2010. "Understanding Organized Crime Networks: Evidence Based on Federal Bureau of Narcotics Secret Files on American Mafia," Carlo Alberto Notebooks 152, Collegio Carlo Alberto.
    5. Sergey Gavrilets & Edgar A Duenez-Guzman & Michael D Vose, 2008. "Dynamics of Alliance Formation and the Egalitarian Revolution," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-9, October.
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