📅 2024-12-11 — Session: Implemented WhatsApp Data Extraction for Graph Analysis
🕒 20:40–21:00
🏷️ Labels: Whatsapp, Data Extraction, Graph Database, Neo4J, Ubuntu
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to develop a comprehensive process for extracting, decrypting, and structuring WhatsApp backup data to populate a graph database for relationship mapping and communication pattern analysis.
Key Activities:
- Extracted insights on data extraction from WhatsApp backups, focusing on relationship mapping and graph database population using Neo4j.
- Detailed the workflow for graph ingestion of WhatsApp data, including data extraction, cleaning, and structuring, and using Cypher queries for interaction.
- Provided instructions for extracting WhatsApp backups based on user’s phone type and OS.
- Offered a step-by-step guide for extracting WhatsApp backups on Ubuntu, covering decryption and visualization techniques.
- Outlined the decryption process for WhatsApp backups on Ubuntu, including necessary tools and analysis of decrypted messages.
- Explained enabling Developer Options and USB Debugging on Galaxy A05 for troubleshooting.
Achievements:
- Established a clear workflow for extracting and processing WhatsApp data for graph analysis using Neo4j.
- Created detailed guides for both data extraction and decryption processes on Ubuntu systems.
Pending Tasks:
- Further automation of the data extraction and ingestion process into the graph database.
- Exploration of additional visualization techniques for analyzed data.