Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

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

1,488 views

Published on

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

  • Be the first to comment

  • Be the first to like this

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

  1. 1. From Open Data to Network Esthetics Pixelache’11 / Pikseliähky’11 11.3.2011 Kari A. Hintikka [email_address]
  2. 2. Shortly about Kari A. Hintikka <ul><li>Making PhD about the netcrowds in Sociology at University of Jyväskylä, Finland </li></ul><ul><li>with Antti Poikola and Petri Kola, a guide book about open data (2010) http://Julkinendata.fi - in the progress to translate in English </li></ul><ul><li>Internet researcher, concept and usability designer, senior foresighter </li></ul><ul><li>Occasional artist: industrial spaghetti western music http://ubiq.fi </li></ul><ul><li>nethunt (a) Twitter </li></ul>
  3. 3. Summary <ul><li>Some basics and examples about the open data </li></ul><ul><li>Layering data: the more complex the more valuable? </li></ul><ul><li>Infographics - visualization is replacing text </li></ul><ul><li>An example how to easily layer personal network data from Facebook with Gephi </li></ul>
  4. 4. Open data <ul><li>is a data that has been made both technically and legally available for reuse, like open source, also commercially </li></ul><ul><li>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: </li></ul><ul><li>USA has been longstanding pioneer with open data </li></ul><ul><li>in Finland the government just suggested for forth-coming new parliament to open Finnish publicly produced data </li></ul><ul><li>often data which is normally (side) produced for some other purposes and functions and could be recycled </li></ul><ul><li>Tilannehuone.fi (Finnish emergency situations real-time on the map) </li></ul><ul><li>commercial example: freely usable customer data base of Amazon </li></ul><ul><li>crowdsourced open data: OpenStreetMap.org </li></ul><ul><li>Web APIs, sensors, trackers, Internet statistics - almost everywhere </li></ul><ul><ul><li>Programmableweb.com, national data catalogues </li></ul></ul>
  5. 5. Tilannehuone.fi: real-time emergency on Google Maps
  6. 6. FluTracker: ordinary people tracking H1N1 pandemia
  7. 7. Open data - example use cases <ul><li>Civil society, transparency and democracy: </li></ul><ul><ul><li>Tax Tree </li></ul></ul><ul><ul><li>Watchdog.net </li></ul></ul><ul><ul><li>MapLight.org - mixing voting and funding of Congress of USA </li></ul></ul><ul><li>Daily life: </li></ul><ul><ul><li>HAVARIA real-time emergency map for global travellers </li></ul></ul><ul><ul><li>public transport and navigation, prices of apartments </li></ul></ul><ul><ul><li>Fillarikanava.fi - collaboration of cyclists and Helsinki municipal </li></ul></ul><ul><li>Business: </li></ul><ul><ul><li>Amazon </li></ul></ul><ul><ul><li>Facebook </li></ul></ul><ul><ul><li>TouchGraph.com </li></ul></ul>
  8. 8. Tax Tree - Veropuu (Peter Tattersall) in Apps4Dem competition 2009
  9. 9. Tax Tree - Veropuu (Peter Tattersall) in Apps4Dem competition 2009
  10. 10. Digital data as a raw material and a resource to refine <ul><li>now (digital) data is a raw material, like any other commodities, like wheat, metals, etc. </li></ul><ul><li>open data can be freely mashup’ed: </li></ul><ul><ul><li>layering, like putting data on the (Google) map, H1N1 observations </li></ul></ul><ul><ul><li>remixed, like Watchdog.net, showing public data of politicians </li></ul></ul><ul><ul><li>recycled, like </li></ul></ul><ul><li>Ilkka Niiniluoto (1987): </li></ul><ul><ul><li>data > information > (tieto) > knowledge > wisdom </li></ul></ul><ul><li>Infographics and other data visualizations are replacing text articles </li></ul><ul><li>Information aesthetics: http://infosthetics.com/ (blog) </li></ul>
  11. 11. One of the best article in 2010 (would need 8-16 pages text to explain in article)
  12. 12. In certain context, raw data might look esthetic or as art: <ul><li>© 2003 WARNER BROS. - U.S., CANADA, BAHAMAS & BERMUDA.2003 VILLAGE ROADSHOW FILMS (BVI) LTD - ALL OTHER TERRITORIES (ALL RIGHTS via Imdb.com </li></ul>
  13. 13. But normally it looks like this:
  14. 14. So how to recycle and remix open data to more esthetic?
  15. 15. Gephi - open source (social) network visualization tool <ul><li>OS X, Linux, Windows </li></ul><ul><li>visual, easy-to-use graphical interface - a bit like Photoshop </li></ul><ul><li>Guidelines for importing personal network data from Facebook: </li></ul><ul><li>http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673 </li></ul><ul><li>Just follow ’em :) No need to understand anything about social network analysis tools </li></ul>
  16. 16. 0: Raw data from Facebook: Netvizz App
  17. 17. 1. Import Netvizz data set to Gephi <ul><li>Network relationships in their rawest visual form </li></ul>>data
  18. 18. 2: Mash the mesh (Gephi autofigures and suggests structure)
  19. 19. 3: Enhance top-notch nodes e.g. popular persons <ul><li>More bigger node, more popular </li></ul>>data>information
  20. 20. 4: Enhance the tribes (automatic) <ul><li>school friends form the past, ex-collagues, sub-cultures, secret guilds, relatives of ex-relationships </li></ul>>data>information
  21. 21. 5: Add the labels (names): who is who >data>information>knowledge
  22. 22. 6: Analyzing the wholeness: which network is close which >data>information>knowledge>wisdom ?
  23. 23. <ul><li>Thank you! </li></ul><ul><li>kari . hintikka a gmail com </li></ul><ul><li>nethunt (a) Twitter </li></ul>

×