Co-evolution and Dynamics of Inter-genre Networks (Co-EDIN)

The Co-EDIN thrust seeks to develop a foundational science for modeling, understanding, predicting, controlling, and optimally designing co-evolving inter-genre networks, both friendly and adversarial. This requires adequate mathematical tools for modeling the inter-twined nature of real world “composite” networks that evolve over time and space, including group relationships and behaviors therein. Also required are mathematical models, techniques and tools for understanding the co-evolution of the attributes of different networks that are influencing each other; and techniques for discovering significant processes running on time-evolving networks or inferring patterns and anomalies in friendly and adversarial inter-genre networks, and for predicting their properties. Finally, mathematically sound approaches are necessary for the optimal design / redesign of networks to achieve desired properties and to control their behavior.

Co-EDIN has five tasks focusing on three main topics.

  • Topic 1: Frameworks for modeling dynamics and co-evolution in inter-genre networks
    • Task C1: Modeling and analysis of groups in multi-genre networks
  • Topic 2: Discovery, inference, and prediction in inter-genre networks
    • Task C2: Discovering network processes in time-evolving networks
    • Task C3: Advanced techniques for learning and prediction over inter-genre, time-evolving networks.
  • Topic 3: Controlling inter-genre networks and designing optimal networks
    • Task C4: Designing and controlling composite networks
    • Task C5: Controllability of complex networks