𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗠𝗥𝗜 𝗳𝗼𝗿 𝗔𝗜 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀

𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗠𝗥𝗜 𝗳𝗼𝗿 𝗔𝗜 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀

My paper got accepted to Complex Networks 2025 in New York. I present this work in December.

I analyzed my AI chat logs from several years. I used network science to see how knowledge grows.

Chat logs look like lines of text. They hide a deeper structure. I call this a cognitive MRI. It makes your thought patterns visible.

Here is how it works:

• Use chat logs.
• Create networks with user weights.
• Find knowledge groups.
• Spot bridge conversations.

The results show different shapes for different topics:

• Theory (Math, Philosophy): Hub-and-spoke. Core ideas connect to many points.
• Practice (Coding, Tools): Tree-like. Paths go from problem to solution.

I found three types of bridges:

• Concept bridges: Link theory across fields.
• Application bridges: Link theory to practice.
• Meta bridges: Help you think about learning.

This research uses real data. It covers math, CS, and cancer research. It is not synthetic.

I did this work while fighting stage 4 cancer. These networks map my intellectual work under a tight timeline.

I will present this in New York. I will show how AI conversations reveal how you learn.

Source: https://dev.to/queelius/cognitive-mri-accepted-to-complex-networks-2025-386i Optional learning community: https://t.me/GyaanSetuAi