Spotting the diffusion of New Psychoactive Substances over the Internet
Fabio Del Vigna, Marco Avvenuti, Clara Bacciu, Paolo Deluca, Andrea, Marchetti, Marinella Petrocchi, Maurizio Tesconi
TL;DR
This paper presents a data mining and visual analytics approach to monitor and understand the online diffusion of New Psychoactive Substances, aiding early detection and insight into drug market dynamics.
Contribution
It introduces a novel set of visual analytics tools for analyzing online data sources to track and detect the spread of NPS in real-time.
Findings
Effective identification of emerging NPS trends
Enhanced understanding of online drug market dynamics
Tools support timely detection of new substances
Abstract
Online availability and diffusion of New Psychoactive Substances (NPS) represent an emerging threat to healthcare systems. In this work, we analyse drugs forums, online shops, and Twitter. By mining the data from these sources, it is possible to understand the dynamics of drugs diffusion and their endorsement, as well as timely detecting new substances. We propose a set of visual analytics tools to support analysts in tackling NPS spreading and provide a better insight about drugs market and analysis.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpam and Phishing Detection · Complex Network Analysis Techniques · Web Data Mining and Analysis