Hashtag to Map: Transforming Zombie Data to Living Maps
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Transcript of Hashtag to Map: Transforming Zombie Data to Living Maps
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Hashtag to Map: Transforming
Zombie data to Maps
Rex G Cammack and Paul HuntUniversity of Nebraska Omaha University of Nebraska Lincoln
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Work Flow
Problem Dream Past Development Current Flow Take a Look Future
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Problem
Understanding how Fans are Spatial Distributed Does Geographic Theory Apply Can We use Social Media to Examine
the Spatial Context in Depth
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DreamTheory
Create an information flow from Social Media to User that goes below the surface of community expression
Practice
View of the now and then Accessible
Open Data Enhancement Interpreted
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Past DevelopmentYear 1
Geo Fences for data gathering What are my Hashtags Student Research
Geo Gathering Internal Server Applications
Year 2
Defined Searches by #### Cloud Application Partial Data Collection
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eeK!
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Current FlowTwitter
Built a Twitter Application Query the Twitter Hose Geo Event – isolating Team
Hushtags
Amazon Cloud
Hosted Work Flow GeoEvent - ArcGIS Server IIS - Python to CGI
Geo Event to Mongo Mongo – a nonSQL database Hosting Mongo Database service Get Request Server Side Script -
Python CGI to Query Mongo Server Side Script – Format to JSON Passes – JSON back to Client
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Current Work FlowClient Application
We make many App Widgets Demo in a moment
Enliven Data
Raw Twitter data to Mongo Started on August 31 2016 10.5 million Raw 415,000 Geo location 200,000 Post Processed Script to Enliven the Data
and add to new Mongo Database
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Take a LookOSU 1 Week OSU 4 Weeks
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WATCH OUT!!!
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FutureMapping
Better Client Mapping Complex Visualizations
Point Clusters Team – Rivals –
Conference Others
Data
Teams Natural Language Processing
Juke tweets Ad tweets Theme Tweets Team Sentiment
Think Fan Chernov Face Location Enhancements
Distance to Team Distance to Home Away Tweets
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Thank You----- Questionshttp://icc2017.org/ ICA Maps and the Internet Commission 2017