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ICEWS Event Aggregations

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Harvard Dataverse2020-05-07 更新2026-04-09 收录
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THIS IS NO LONGER SUPPORTED. ICEWS event aggregations are a way to create time series data, typically at a monthly level, out of the ICEWS coded event data (which was automatically extracted from news articles by the BBN ACCENT event coder). Each set of aggregations consists of multiple data parameters, which are ways of aggregating the event data within a given time interval. These data parameters first specify the way events are filtered (e.g., country affiliation, sector affiliation, etc.) and then how they are aggregated (e.g., via count, intensity average) for a given time interval. In this way, numerical data is created out of time series of underlying event data. We plan to update this data on a periodic basis. Additional information about the ICEWS program can be found at http://www.icews.com/. Follow our Twitter handle for data updates and other news: @icews

创建时间:
2015-01-01
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