Extracting Templates from Media Event Sequences
Marko Grobelnik
2016 Invited Talk
in
Workshop: "What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems
in
Workshop: "What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems
Abstract
In this preliminary research we'll present early results on extracting repeatable probabilistic templates from global media-event sequences. Such patterns could hint on some weak forms of causality in the global social dynamics. As a basis, we are using the evolving graph of interlinked events generated by the "Event Registry" system (eventregistry.org), where each event is represented as an object composed from three main components: social, topical and temporal. In the analysis we will show early results on the structure of the problem and the spectrum of extracted templates from simple to hard ones.
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