7 Matching Annotations
  1. Jul 2018
  2. Oct 2017
    1. To support the extraction of themes, we refer to existent content analysis studies regardingTwitter, with a focus on theInformation-Community-Actionframework which is developed todescribe organization-public communication (Lovejoy and Saxton 2012).Informationtweetscontain factual information,community-buildingtweets reflect social engagement, andactiontweets are explicit calls for taking actions

      Think of these as clusters. We will do cluster analysis in a week or so. These are attributes of nodes.

    2. healthcare roles, yet thereis a considerable amount of conversations from healthcare providers to average consumers,and from average consumers to media

      these are node attributes. I wonder how they derived them from twitter. Hopefully this will be spelled out in the methods.

    3. node size indicates betweenness centrality.Colorsindicate conversational themes (redfor action,bluefor knowledge sharing andgreenfor community).Color figure online

      Node attributes and betweenness centrality.

  3. May 2017
    1. volume, velocity, and variety

      volume: The actual size of traffic

      Velocity: How fast does the traffic show up.

      Variety: Refers to data that can be unstructured, semi structured or multi structured.

  4. Apr 2017
  5. Sep 2015
    1. A system of relationships among the physical attributes is often shown to imitate or represent-by their configuration, content, and associations-conscious and unconscious aspects of social life.

      What are some of these "physical attributes" and what "aspects of social life" are they representing?