A large-scale longitudinal structured dataset of the dark web cryptomarket Evolution (2014-2015).
CoRR(2023)
摘要
Dark Web Marketplaces (DWM) facilitate the online trade of illicit goods. Due
to the illicit nature of these marketplaces, quality datasets are scarce and
difficult to produce. The Dark Net Market archives (2015) presented raw scraped
source files crawled from a selection of DWMs, including Evolution. Here, we
present, specifically for the Evolution DWM, a structured dataset extracted
from Dark Net Market archive data. Uniquely, many of the data quality issues
inherent to crawled data are resolved. The dataset covers over 500 thousand
forum posts and over 80 thousand listings, providing data on forums, topics,
posts, forum users, market vendors, listings, and more. Additionally, we
present temporal weighted communication networks extracted from this data. The
presented dataset provides easy access to a high quality DWM dataset to
facilitate the study of criminal behaviour and communication on such DWMs,
which may provide a relevant source of knowledge for researchers across
disciplines, from social science to law to network science.
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