Pixelache 110311 Hintikka Open Data FINAL
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Transcript of Pixelache 110311 Hintikka Open Data FINAL
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From Open Data to
Network Esthetics
Pixelache11 / Pikselihky11 11.3.2011Kari A. Hintikka
nethunt@Twitter
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Shortly about Kari A. Hintikka
Making PhD about the netcrowds in Sociology at University ofJyvskyl, 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, seniorforesighter
Occasional artist: industrial spaghetti western music http://ubiq.fi
nethunt (a) Twitter
http://julkinendata.fi/http://ubiq.fi/http://ubiq.fi/http://julkinendata.fi/ -
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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 fromFacebook with Gephi
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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 theaim is, doesnt 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 toopen Finnish publicly produced data
often data which is normally (side) produced for some other purposes andfunctions 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
Links: http://muistio.tieke.fi/iiEAq3Tj4F
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Tilannehuone.fi: real-time emergency on Google Maps
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FluTracker: ordinary people tracking H1N1 pandemia
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Open data - example use cases
Civil society, transparency and democracy: Tax Tree
Watchdog.net
MapLight.org - mixing voting and funding of Congress of USA
http://gephi.org/2011/the-egyptian-revolution-on-twitter/
Daily life: HAVARIA real-time emergency map for global travellers
http://hisz.rsoe.hu/alertmap/index2.php
public transport and navigation, prices of apartments
Fillarikanava.fi - collaboration of cyclists and Helsinki municipal
Business:
Amazon
Facebook
TouchGraph.com
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Tax Tree - Veropuu (Peter Tattersall)in Apps4Dem competition 2009
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Tax Tree - Veropuu (Peter Tattersall)in Apps4Dem competition 2009
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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 mashuped: layering, like putting data on the (Google) map, H1N1 observations
remixed, like Watchdog.net, showing public data of politicians
recycled, like Nomenest.info puts data in new context
Ilkka Niiniluoto (1987): data > information > (tieto) > knowledge > wisdom
Infographics and other data visualizations are replacing text articles
Information aesthetics: http://infosthetics.com/ (blog)
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One of the best article in 2010(would need 8-16 pages text to explain in article)
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Network esthetics - bones of human body byJattipaa@Twitter
http://verkostoanatomia.wordpress.com/2011/01/11/the-head-bone-connected-to-the-net-bone/
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Network esthetics - connections of alphabets byJattipaa@Twitter
http://verkostoanatomia.wordpress.com/2011/03/04/mapping-the-network-of-alphabets/
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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
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But normally it looks like this:
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So how to recycle and remix open data to more esthetic?
Visual complexity: http://www.visualcomplexity.com/vc/index.cfm?domain=Social%20N
etworks
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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
http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673http://www.slideshare.net/sociomantic/facebook-network-analysis-using-gephi-3996673 -
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0: Raw data from Facebook: Netvizz App
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1. Import Netvizz data set to Gephi
Network relationships in their rawest visual form
>data
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2: Mash the mesh (Gephi autofigures and suggests structure)
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3: Enhance top-notch nodes e.g. popular persons
More bigger node, more popular
>data>information
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4: Enhance the tribes (automatic)
school friends form the past, ex-collagues, sub-cultures,
secret guilds, relatives of ex-relationships
>data>information
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5: Add the labels (names): who is who
>data>information>knowledge
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6: Analyzing the wholeness: which network is close which
>data>information>knowledge>wisdom ?
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Thank you!
kari . hintikka a gmail com nethunt (a) Twitter