Network Science, Complex Systems, and Graph Learning

This thrust focuses on understanding and modeling large, interconnected systems such as social, biological, and information networks. Faculty develop algorithms for graph mining, resilience analysis, complex system modeling, and graph-based learning with applications in epidemiology, bioinformatics, cybersecurity, and financial systems. Representative topics include:

  • Social networks
  • Graph learning and network mining
  • Resilience and percolation
  • Complex systems modeling

Bioinformatics and health networks

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