2018/01/02 by Safaa. S Al Dhanhani · 1 citation
Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Network Security and Intrusion Detection #Cybercrime and Law Enforcement Studies
paper · pdf · doi:10.5121/csit.2018.80104
openalex publication_date 2018/01/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
This research work discusses how an integrated open source intelligence framework can help the law enforcements and government entities who are investigating crimes based on statistical and graph analysis on Twitter data. The solution supports a real-time and off-line analysis of the tweets collections. The framework employs tools that support big data processing capabilities, to collect, process and analyze a huge amount of data. The outline solution supports content and textual based analysis, helping the investigators to dig into a person and the community linked to that person based on a tweet. Our solution supports an investigative processes composed of the following phases (i) find suspicious tweets and individuals based on hash tags analysis (ii) classify the user profile based on Twitter features (iii) identify influencers in the FOAF networks of the senders (iiii) analyze these influencers' background and history to find hints of past or current criminal activity.