Intelligent Networks Laboratory

AI and graph-based systems.

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Network Science.

Our laboratory applies network science to investigate the evolution and behavior of complex networked systems. We focus on developing advanced simulations that capture fundamental properties and dynamics of graphs as they grow and adapt over time.

Evolution of Network Structures.

A key focus of our research is understanding how networks evolve. By simulating large-scale network dynamics, we explore the mechanisms that drive structural changes and the emergence of macroscopic properties from local interactions.

Open Questions.

  • How do network structures evolve over time under varying developmental rules?
  • What fundamental properties emerge from these simulated dynamics?
  • How can we better analyze and visualize networks composed of millions of edges?