Special Issue “Predictive Analytics and Illicit Activities”
Call for papers
Dear Colleagues,
This Special Issue focuses on the use of advanced techniques to mine and exploit heterogeneous digital data on illicit activities for descriptive or predictive analyses.
Digital technologies as well as digital information and communication networks facilitate illicit activities such as illicit financial flows, illicit art and drug markets, forbidden posts and comments on social media, and recruitment or incitement of illicit activities such as any form of radicalization, etc. New models, methods and tools need to be developed to prevent, detect or warn, and possibly mitigate or hinder these illicit actions.
These methods encompass machine learning or data mining models as well as visualization models to help in detecting or mitigating possible illicit activities.
This Special Issue aims to gather both research papers reporting new scientific results and technical papers reporting project results, demos/prototypes/tools.
This Special Issue invites submissions covering, but not limited to, the following topics:
– Crime detection and investigation;
– Risk analysis;
– Misinformation and misbehavior analysis and detection;
– Trend detection, analysis and tracking;
– Weak signal detection;
– Information / opinion / knowledge spread and modelling;
– Information quality in social network;
– Community detection, expertise and authority discovery;
– Social influence, recommendation and media;
– Behavior analysis in social networks;
– Sentiment analysis;
– Network visualization and modeling;
– Data mining and machine learning;
– Real-world case studies;
– Ongoing projects based on social media and/or social networks;
– Ethics.
Prof. Dr. Josiane Mothe
Guest Editor
Deadline for manuscript submissions: 31 May 2021.
Submission link : https://www.mdpi.com/journal/information/special_issues/predictive_anallytics_illicit