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This section features a selection of tools and links that I have personally used during real investigations.
Reliable and well-tested resources, employed to identify individuals, locate places, and reconstruct complex situations.
They have played a key role in efforts to combat organized crime, in the hunt for fugitives, in the search for missing persons, and in the investigation of fraud.
Each item in this collection can represent a valuable piece of the puzzle, capable of opening new investigative leads and leading to further discoveries through targeted research.

17-04-2025 11:01:56
INVESTIGATIVE VISUALIZATION WITH CYTOSCAPE - Open Source Graph Analysis System

In the last few months I have been working on the development of a graph-based investigative visualization system, inspired by the principles of tools such as IBM i2 Analyst's Notebook.
I choseto build everything using exclusively open source software, with Cytoscape as the main visualization engine.


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Presentation Video



Project Goal


My goal was to create a flexible investigative interface, oriented towards the graphical representation of entities and relationships in a clear and interactive way.


Approach Adopted



  • Replicate the basic functionality of a graph visual analysis system.

  • Easily integrate external data sources such as databases, CSV files or APIs.

  • Eliminate any commercial constraints, keeping the project entirely open source.


Technologies used



  • Cytoscape: for graph visualization.

  • Python + py4cytoscape: to interact with Cytoscape via REST API.

  • SQLite: as a lightweight data store to simulate personal and relational structures.

  • Custom icons: managed in base64, for maximum compatibility and portability.


Developed features



  • Automatic creation of networks starting from structured data (name, gender, date of birth,etc.).

  • Insertion of custom icons into nodes (male/female avatars) via embedded base64 images.

  • Visualization of multiple relationships between subjects, with automatic edge management.

  • Readable and ordered labels under each node.

  • Control of the graph from Python, with interaction on selected nodes.





dati\\cytoscape_python.jpg


Upload to the graph fromdatabase.



dati\\cytoscape_python2.jpg





Interaction examples



  • Print the personal information associated with the node(s) selected on Cytoscape to the console.


Cytoscape, integrated with Python, confirms itself as a powerful and adaptable tool for investigative, OSINT, forensic and academic contexts.The project is still evolving, but the results achieved so far confirm the solidity of the approach.


I attach the code of the test described above Download the scripts. To test it, install py4cytoscape.

Have you tried this resource? Let us know if it still works:
res.index (152)

ACTIVATIONS

AIR TRAFFIC

ALBANIA

ANALYSIS FAKE

ANALYST

ARGENTINA

ARTIFICIALINTELLIGENCE

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