To request access this dataset you will need to login with an IMPACT account. Accounts are free. If you don't have one please register.

Summary

DS-0812
Traveling the Silk Road: Non-anonymized datasets
Dataset
Carnegie Mellon University
Carnegie Mellon University
03/04/2012
07/23/2012
44 (lowest rank is 51)

Category & Restrictions

Cybercrime Infrastructure
Restricted
Unknown

Data is only for use by academic researchers, as evidenced by a .edu (or a known non-US academic domain) email address, and a .edu (or a known non-US academic domain) webpage describing your research and publications. You need to send a brief description of the project you want to use this data for. A faculty advisor must be making or endorsing the request.

Commercial uses are prohibited.

Description


Non-anonymized data for the paper Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace.

Non-anonymized subset of the databases used in the paper "Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace" (Christin, 2013). In this dataset,    textual information (item name, description, or feedback text) and handles have *not* been anonymized and are thus available. We don't expect any private identifiers or other PII to be present in the data, which was collected from a publicly available website -- the Silk Road anonymous marketplace -- for a few months in 2012.

For less restricted usage terms, please consider the anonymized version, which is also available without any restrictions. This non-anonymized dataset should only be requested if your project MUST rely on full textual descriptions of items and/or feedback.

Christin (2013) Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace. To appear in Proceedings of the 22nd International World Wide Web Conference (WWW'13). Rio de Janeiro, Brazil. May 2013.

Additional Details

13.8MB
false
false
international world wide web conference, traveling the silk road: non-anonymized datasets, 812, data protection, data anonymization, computer networking conferences, carnegie mellon university, information privacy