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Studying Corruption Through Networks
This chapter discusses a research study on corruption in Veracruz, Mexico, which utilized complexity science and focused on networks, systems, and the interconnectedness of people involved in a major corruption scandal. It explores how shared behavior and relationships influence collective behavior in corruption cases, highlighting the role of shareholders in phantom companies and the connectivity among various companies. The chapter sheds light on the challenges of defining and measuring corruption and touches on examples of algorithmic errors and data corruption in other contexts.