pixelache 110311 hintikka open data final

8/4/2019 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

pixelache 110311 hintikka open data final

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