Arcomem training twitter-dynamics_beginner

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This presentation on Twitter Dynamics is part of the ARCOMEM training curriculum. Feel free to roam around or contact us on Twitter via @arcomem to learn more about ARCOMEM training on archiving Social Media.

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Arcomem training twitter-dynamics_beginner

  1. 1. Twitter Dynamics ATHENA – Research and Innovation Center in Information, Communication and Knowledge Technologies
  2. 2. Objective • Based on data extracted from Twitter, we construct a network of time-stamped term associations • Queries that can be answered – “What are the hashtags associated with #obama at time instance t?” – “Give me the tweets that mention #cnn during the periods that #obama is associated with #romney” – “How the hashtags associated with #obamawins have evolved over time?” 2Twitter Dynamics
  3. 3. Implementation • Developed in JAVA • Wide range of storage options for models – Relational databases (MySQL, Postgresql) – Graph database (Neo4J) – RDF triplestore (H2RDF) • Tested with up to 13 millions of Tweets 3Twitter Dynamics
  4. 4. UI For Exploring Twitter Dynamics • Interface for Twitter Dynamics will provide a view on the important hashtags for a campaign – How their importance has evolved over time – How their association with other hashtags has evolved – Viewing evolution of associations with different time granularities: hourly, daily, weekly 4Twitter Dynamics

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