Conducted email network analysis and SQL optimization

2 min read

Conducted email network analysis and SQL optimization

  • Day: 2025-03-01
  • Time: 00:25 to 01:30
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Network Analysis, Sql Optimization, Email Setup, Python, Data Visualization

Description

Session Goal:

The session aimed to enhance email communication analysis using network graphs and optimize SQL query performance for database management.

Key Activities:

  • Email Handler Setup: Configured Firefox to use Gmail as the default email handler for mailto: links.
  • Dataset Management: Notified of dataset reset, requiring re-upload for network analysis.
  • Network Analysis: Utilized NetworkX to create a directed email network, filtered bidirectional communications, and refined graph visualization by removing self-loops and improving layout.
  • Error Handling: Identified and resolved an undefined variable issue in the graph analysis code.
  • Data Extraction: Converted bidirectional graph edges into a pandas DataFrame.
  • SQL Optimization: Implemented strategies for SQL query performance improvement, focusing on batch inserts and indexing.
  • Batch Insert Method: Developed a SQL script for batch inserting email details using loop-based and CTE approaches.

Achievements:

  • Successfully configured email handling in Firefox.
  • Completed initial steps in email network analysis and SQL query optimization.

Pending Tasks:

  • Re-upload the dataset for continued network analysis.
  • Further refine SQL scripts for enhanced database performance.

Evidence

  • source_file=2025-03-01.sessions.jsonl, line_number=1, event_count=0, session_id=6967889f14200fda9898eef76146250ce31e1925fcf5302184212861dd6c91ad
  • event_ids: []

Graph View

Backlinks