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Visualizations: Making sense of the social web. Visualization for Eliciting Knowledge from Data. Visualization for Eliciting Knowledge from Data. The Power of Visualization. The Power of Visualization. Are these datasets the same?. Are these datasets the same?. Anscombe’s quartet.

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using visualizations for social web
Using Visualizations for Social Web
  • Lots of examples today
    • Applying visualizations for specific domains
  • Some discussion of principles
what are the elements to visualize
What are the elements to visualize?
  • In a real-time chat room?
  • Frequency of posts
    • Aggregate or individual people
  • Common topics
  • Where they are posting (geolocation)
  • Relationship
    • Social network (who knows whom)
  • Use of user tools
    • How many people blocked, different UI elements used
  • Summaries
    • Who are the people here (a/s/l)
chat circles viegas donath 1999
Chat Circles: Viegas & Donath, 1999
  • Self-identification through
    • Color
    • Spatial position
    • Label
  • Overall activity: brightness of circle
    • Indicates both overall number of users and activity level
  • Zone of hearing
    • Localizes conversations
chat circles archival view
Chat Circles: Archival view
  • X-axis: people
  • Y-axis: time
what are the elements to visualize1
What are the elements to visualize?
  • In an online discussion forum?
  • Common topics
  • Rate of response vs other variables
  • Length of time on site (newbie / old timer)
  • Interactions of different types
    • Ratings of posts vs comments
    • Gender / topic / smileys
  • Time of day / day of week
    • Scheduled tweets
  • Clickthrough/ level of interest
loom karahalios donath
Loom (Karahalios & Donath)
  • Participant X Time matrix
  • View threading between participants

Participant

Time

slide21
Loom
  • Visualizing mood
    • Anger: caps, !?!!, profanity
    • Information: dates, cities, newsfeeds, etc.
    • Peaceful
    • Other
  • Same person-time axes as in other Loom view
usenet smith et al2
Usenet (Smith et al.)
  • Growth in postings (e.g., alt.binaries)
  • Fairly steady reply rate; i.e., social interactions
microsoft public windows server general
microsoft.public.windows.server.general

Days Active in Newsgroup

Posts per Thread in Newsgroup

microsoft public windows server general1
microsoft.public.windows.server.general
  • Size of circle is total number of posts
  • Red means has posted recently

Days Active in Newsgroup

Posts per Thread in Newsgroup

microsoft public windows server general2
microsoft.public.windows.server.general
  • Who are these people?

Days Active in Newsgroup

Posts per Thread in Newsgroup

microsoft public windows server general3
microsoft.public.windows.server.general
  • Who are these people?

Days Active in Newsgroup

Posts per Thread in Newsgroup

taking a step back
Taking a Step Back
  • Before talking about next section, useful to take a step back and think about good and bad visualizations
variables you can manipulate
Variables You Can Manipulate

Size

Value

Orientation

Texture

Shape

Position (2D / 3D)

appropriate use of color
Appropriate Use of Color
  • Don’t use ROYGBIV for colors
  • Modify the saturation and/or intensity instead
design guidance1
Design Guidance

Tufte

  • Tell the truth

(baseline, scale, context)

Lie Factor =

size of effect shown/

size of effect in data

design guidance3
Design Guidance

Tufte

2. Be careful with size coding

(height/width v.

area vs volume)

smooth transitions
Smooth Transitions
  • Baby Name Wizard (http://www.babynamewizard.com/voyager#)
shneiderman s mantra
Shneiderman’s Mantra

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

Overview First, Zoom and Filter, Details on Demand

reminder homework 4
Reminder: Homework 4
  • IRBs due Wednesday
  • https://www.citiprogram.org/
  • Send to jasonh@cs
homework 5 visualization
Homework 5: Visualization
  • With a partner, create interesting and compelling viz using Many Eyes (any) or NodeXL (Windows)
  • http://www-958.ibm.com/software/data/cognos/manyeyes/
  • http://nodexl.codeplex.com/releases/view/82302
  • NodeXL includes extractors for getting data from FB, Twitter, Flickr, Exchange Server and hyperlink networks
  • This means you have to:
    • find some interesting data set, and
    • figure out best way to visualize it
homework 5 visualization1
Homework 5: Visualization
  • Post team members, description of visualization, rationale, and link to visualization to forums by Wed Feb 29
    • The visualization itself
    • An image caption
    • Goals of analysis
    • Metrics
    • Interpretation
  • Comment on three other people’s visualizations by Mon Mar 5