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  1. Game Theory Basics and Applications.

    Abstract not provided.
  2. Intro to Text Analytics.

    Abstract not provided.
  3. Estimating users' mode transition functions and activity levels from social media.

    Abstract not provided.
  4. Estimating users' mode transition functions and activity levels from social media.

    Abstract not provided.
  5. Counter-Adversarial Community Detection.

    Abstract not provided.
  6. On data collection graph construction and sampling in Twitter.

    Abstract not provided.
  7. Counter-Adversarial Community Detection: Initial Investigations.

    Abstract not provided.
  8. Workshop on Incomplete Network Data Held at Sandia National Labs – Livermore

    While network analysis is applied in a broad variety of scientific fields (including physics, computer science, biology, and the social sciences), how networks are constructed and the resulting bias and incompleteness have drawn more limited attention. For example, in biology, gene networks are typically developed via experiment -- many actual interactions are likely yet to be discovered. In addition to this incompleteness, the data-collection processes can introduce significant bias into the observed network datasets. For instance, if you observe part of the World Wide Web network through a classic random walk, then high degree nodes are more likely to bemore » found than if you had selected nodes at random. Unfortunately, such incomplete and biasing data collection methods must be often used.« less
  9. Benchmarking Near-‐term Adiabatic Quantum Computation.

    Abstract not provided.
...

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"Wendt, Jeremy D"

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