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Given a stream of heterogeneous edges, comprising different types of nodes and edges, which arrive in an interleaved fashion to multiple different graphs evolving simultaneously, how can we spot the anomalous graphs in real-time using only constant memory? This problem is motivated by and generalizes from its application in security to host-level advanced persistent threat (APT) detection. In this...
Networks naturally capture a host of real-world interactions, from social interactions and email communication to brain activity. However, graphs are not always directly observed, especially in scientific domains, such as neuroscience, where monitored brain activity is often captured as time series. How can we efficiently infer networks from time series data (e.g., model the functional organization...
Public entities such as companies and politicians increasingly use online social networks to communicate directly with their constituencies. Often, this public messaging is aimed at aligning the entity with a particular cause or issue, such as the environment or public health. However, as a consumer or voter, it can be difficult to assess an entity’s true commitment to a cause based on public messaging...
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