Your SlideShare is downloading. ×
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Pixelache 110311-Hintikka-Kari-A-Open-data-Network-esthetics

1,000

Published on

Presentation in Pixelache'11 about open data, infographics and network visualization

Presentation in Pixelache'11 about open data, infographics and network visualization

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,000
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. From Open Data to Network Esthetics Pixelache’11 / Pikseliähky’11 11.3.2011 Kari A. Hintikka [email_address]
  • 2. Shortly about Kari A. Hintikka
    • Making PhD about the netcrowds in Sociology at University of Jyväskylä, Finland
    • with Antti Poikola and Petri Kola, a guide book about open data (2010) http://Julkinendata.fi - in the progress to translate in English
    • Internet researcher, concept and usability designer, senior foresighter
    • Occasional artist: industrial spaghetti western music http://ubiq.fi
    • nethunt (a) Twitter
  • 3. Summary
    • Some basics and examples about the open data
    • Layering data: the more complex the more valuable?
    • Infographics - visualization is replacing text
    • An example how to easily layer personal network data from Facebook with Gephi
  • 4. Open data
    • is a data that has been made both technically and legally available for reuse, like open source, also commercially
    • often refers to the public subset of government information which, at least the aim is, doesn’t harm privacy of individuals or cause security problems:
    • USA has been longstanding pioneer with open data
    • in Finland the government just suggested for forth-coming new parliament to open Finnish publicly produced data
    • often data which is normally (side) produced for some other purposes and functions and could be recycled
    • Tilannehuone.fi (Finnish emergency situations real-time on the map)
    • commercial example: freely usable customer data base of Amazon
    • crowdsourced open data: OpenStreetMap.org
    • Web APIs, sensors, trackers, Internet statistics - almost everywhere
      • Programmableweb.com, national data catalogues
  • 5. Tilannehuone.fi: real-time emergency on Google Maps
  • 6. FluTracker: ordinary people tracking H1N1 pandemia
  • 7. Open data - example use cases
    • Civil society, transparency and democracy:
      • Tax Tree
      • Watchdog.net
      • MapLight.org - mixing voting and funding of Congress of USA
    • Daily life:
      • HAVARIA real-time emergency map for global travellers
      • public transport and navigation, prices of apartments
      • Fillarikanava.fi - collaboration of cyclists and Helsinki municipal
    • Business:
      • Amazon
      • Facebook
      • TouchGraph.com
  • 8. Tax Tree - Veropuu (Peter Tattersall) in Apps4Dem competition 2009
  • 9. Tax Tree - Veropuu (Peter Tattersall) in Apps4Dem competition 2009
  • 10. Digital data as a raw material and a resource to refine
    • now (digital) data is a raw material, like any other commodities, like wheat, metals, etc.
    • open data can be freely mashup’ed:
      • layering, like putting data on the (Google) map, H1N1 observations
      • remixed, like Watchdog.net, showing public data of politicians
      • recycled, like
    • Ilkka Niiniluoto (1987):
      • data > information > (tieto) > knowledge > wisdom
    • Infographics and other data visualizations are replacing text articles
    • Information aesthetics: http://infosthetics.com/ (blog)
  • 11. One of the best article in 2010 (would need 8-16 pages text to explain in article)
  • 12. In certain context, raw data might look esthetic or as art:
    • © 2003 WARNER BROS. - U.S., CANADA, BAHAMAS & BERMUDA.2003 VILLAGE ROADSHOW FILMS (BVI) LTD - ALL OTHER TERRITORIES (ALL RIGHTS via Imdb.com
  • 13. But normally it looks like this:
  • 14. So how to recycle and remix open data to more esthetic?
  • 15. Gephi - open source (social) network visualization tool
    • OS X, Linux, Windows
    • visual, easy-to-use graphical interface - a bit like Photoshop
    • Guidelines for importing personal network data from Facebook:
    • http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673
    • Just follow ’em :) No need to understand anything about social network analysis tools
  • 16. 0: Raw data from Facebook: Netvizz App
  • 17. 1. Import Netvizz data set to Gephi
    • Network relationships in their rawest visual form
    >data
  • 18. 2: Mash the mesh (Gephi autofigures and suggests structure)
  • 19. 3: Enhance top-notch nodes e.g. popular persons
    • More bigger node, more popular
    >data>information
  • 20. 4: Enhance the tribes (automatic)
    • school friends form the past, ex-collagues, sub-cultures, secret guilds, relatives of ex-relationships
    >data>information
  • 21. 5: Add the labels (names): who is who >data>information>knowledge
  • 22. 6: Analyzing the wholeness: which network is close which >data>information>knowledge>wisdom ?
  • 23.
    • Thank you!
    • kari . hintikka a gmail com
    • nethunt (a) Twitter

×