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Shining a Light on the Shadows: Endogenous Trade Structure and the Growth of an Online Illegal Market1

Shining a Light on the Shadows: Endogenous Trade Structure and the Growth of an Online Illegal... How do illegal markets grow and develop? Using unique transaction-level data on 7,205 market actors and 16,847 illegal drug exchanges on a “darknet” drug market, the authors evaluate the network processes that shape online illegal drug trade and promote the growth of online illegal drug markets. Contrary to past research on online markets, the authors argue that the high-risk context of illegal trade enhances market actors’ reliance on social relationships that emerge endogenously from transaction networks. The findings reveal a highly structured trade network characterized by dense clustering and frequent recurrent drug exchange. Dynamic network models reveal that both embeddedness and closure in exchange structure increase the hazard rate of illegal drug trade, with effect sizes comparable to formal reputations. These effects are pronounced in the early stages of market development but wane once the market reaches maturity. These findings demonstrate the powerful, temporally contingent, influence of transaction networks on illegal trade in online markets and reveal how endogenous networks of economic relations can promote risky exchange under conditions of relative anonymity and illegality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Sociology University of Chicago Press

Shining a Light on the Shadows: Endogenous Trade Structure and the Growth of an Online Illegal Market1

American Journal of Sociology , Volume 127 (3): 41 – Nov 1, 2021

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Publisher
University of Chicago Press
Copyright
© 2021 The University of Chicago. All rights reserved.
ISSN
0002-9602
eISSN
1537-5390
DOI
10.1086/718197
Publisher site
See Article on Publisher Site

Abstract

How do illegal markets grow and develop? Using unique transaction-level data on 7,205 market actors and 16,847 illegal drug exchanges on a “darknet” drug market, the authors evaluate the network processes that shape online illegal drug trade and promote the growth of online illegal drug markets. Contrary to past research on online markets, the authors argue that the high-risk context of illegal trade enhances market actors’ reliance on social relationships that emerge endogenously from transaction networks. The findings reveal a highly structured trade network characterized by dense clustering and frequent recurrent drug exchange. Dynamic network models reveal that both embeddedness and closure in exchange structure increase the hazard rate of illegal drug trade, with effect sizes comparable to formal reputations. These effects are pronounced in the early stages of market development but wane once the market reaches maturity. These findings demonstrate the powerful, temporally contingent, influence of transaction networks on illegal trade in online markets and reveal how endogenous networks of economic relations can promote risky exchange under conditions of relative anonymity and illegality.

Journal

American Journal of SociologyUniversity of Chicago Press

Published: Nov 1, 2021

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