𝗠𝘂𝗹𝘁𝗶𝗹𝗮𝘆𝗲𝗿 𝗦𝘁𝗼𝗰𝗵𝗮𝘀𝘁𝗶𝗰 𝗕𝗹𝗼𝗰𝗸 𝗠𝗼𝗱𝗲𝗹𝘀 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀
Networks often exist in multiple layers at once. One layer represents friendships. Another layer represents professional connections. A third layer represents shared interests.
Most models look at these layers separately. This approach misses how layers interact.
Multilayer Stochastic Block Models solve this problem. They reveal the hidden structure across all layers.
How they work:
- They identify groups of nodes.
- They track how these groups behave in different layers.
- They show connections between different types of relationships.
This method helps you understand complex systems. It works for social networks, biological systems, and data flows.
You gain a clear view of how different parts of a system influence each other.
Optional learning community: https://t.me/GyaanSetuAi