Corruption is one of the most important systemic problems in low- and-middle income countries. It occurs in social systems which are paradigmatically complex, given the convergence of several variables and actors in time and space. Despite the fact that there are many instances to typify a corruption act, one of the most ubiquitous forms in which this problem is observed is when private companies or persons obtain economic benefits from the government. In this landscape, network science emerges as a potential source of novel methods to integrate several sources of information into a single or multi-layer graph and provide a robust framework to analyze and develop solutions to this complex problem.
This mini-symposium intends to foster the discussion about the relevance of network science in fighting corruption by presenting theoretical, empirical, and operational efforts currently being done to fight this complex phenomenon.
1:45 PM - Welcoming
1:50 PM - Automated Irregularity Detection
OLLIN DEMIAN LANGLE CHIMAL / University of Vermont
2:10 PM - Multi-case Corruption Network in the Mexican Government During the Neoliberal Period
JESÚS ESPINAL ENRÍQUEZ / Instituto Nacional de Medicina Genómica
2:30 PM - Structure and Dynamics of Grand Corruption Networks: the Mexican Case
JOSÉ R. NICOLÁS CARLOCK / Universidad Nacional Autónoma de México
2:50 PM - Emergence of Corrupt Community Structure of Growing Financial Networks
OSCAR GRANADOS / Universidad Jorge Tadeo Lozano