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their historical and social context by understanding how the major topics associated with them have changed over time. Users can relate articles through time by examining the topical keywords that summarize a specific news event. By tracking the attention to a news article in the form of references in social media (such as
EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention
discovery and identification ofemergency situation areas. The system tackles this challengeby providing real-time mapping of influence areas based onautomatic analysis of the flow of discussion using languagedistributions. The workflow is then further enhanced throughthe addition of keyword surprise mapping which projects the
icon. Each keyword is assigned to its own unique glyph and these glyphs form, in any combination, a hexagonal icon. For the prototype a data archive of interactive media artworks has been used, which had been tagged using a taxonomy.
"domain models" (i.e., Families of keywords and extractors to enable focus on tweets and other social media documents relevant to a project), to rapidly extract and segment the relevant social media and its authors, to apply further analytics (such as finding trends and anomalous terms), and visualizing the results
data, while Concept Maps keep this exploration focused by linking data patterns (e.g., occurrence and frequency of keywords) to underlying dynamics (e.g., coordination of activism, salience of violence). We illustrate the potential of our approach through a discussion of how it could be used to study the on-going Syrian
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.