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


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

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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) - 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 </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> (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: </li></ul><ul><li>Web APIs, sensors, trackers, Internet statistics - almost everywhere </li></ul><ul><ul><li>, national data catalogues </li></ul></ul>
  5. 5. 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> </li></ul></ul><ul><ul><li> - 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> - 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> </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, 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: (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 </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> </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>