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 designing co-evolving inter-genre networks, both friendly and adversarial. This goal requires adequate mathematical tools for modeling the inter-twined nature of real world multi-genre networks that evolve and co-evolve over time and space, including both friendly and adversarial group relationships and behaviors therein. Also required are mathematical models, techniques, and tools for understanding the 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 multi-genre networks, and for predicting their properties.

Co-EDIN has four tasks focusing on two main topics.

  • Topic 1: Frameworks for Modeling Dynamics and Co-evolution of Network Structure and Behavior in Inter-genre Networks
    • Task C4: Co-evolution of multi-genre networks
    • Task C5: Influencing, Agitation Propagation, and Social Contagion in Empirical Networks and Data-Driven Models
  • Topic 2: Discovery, Inference, and Prediction in Inter-genre Networks
    • Task C2: Learning and Optimizing Network Processes in Multilayer Time-evolving Networks
    • Task C3: Large Scale Deep Learning For Dynamic Multi-Genre Networks: Pattern Discovery, Classification and Prediction