Monday, 17 May 2010
Re-submission
Through the practical visualisation work for second learning cycle, I could find some way of creating visual which was that online activities and participations of using social network could make expended graphics so I started to deliver this way to my major project.
So I thought that I could show my previous visualisation works with some working prototypes how my work is going to look like and some research evidences I have done, which could support and base my project (actually, I thought that the proof research is one of the most important part of my project because my project is kind of art project so I wanted to answer the question about why I should do this).
However, I realised that the problem of misunderstanding started in this position from my academic tutorial on last Wednesday. As I understood, Martin and Jared expected me to show some algorithm of my visualising rather than how I was thinking, where my notion came from and why my project would be valuable but I missed to show the part of visual algorithm.
Finally, I should have shown the algorithm for visualising and some definitions of visual.
What I am doing
- Visual algorithm for visualising
- Definition of individual graphic unit
- Description of changing visual
Friday, 30 April 2010
Learning Cycle 03
Conceptualisation – Collective Intelligence
I needed to find appropriate knowledge or theories that can support and document a notion of my visualisation project. So I read and scanned a lot of books, articles and net-art project reviews.

First of all, I was reminded that in 2008, there was the biggest protest in South Korea. Tens of thousands of South Koreans were demonstrating on the streets of the capital to protest against the government’s decision to import what they say was unsafe American beef.

This is remembered as typical example of collective intelligenceFrom this instance, people could show the power of collective opinions, and also they realized a visible effect of the collectivity, which became exemplary model of demonstration culture.
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What is Collective Intelligence?
- Collective intelligence is a shared or group intelligence that emerges from the collaboration and competition of many individuals.
- Collective intelligence appears in a wide variety of forms of consensus decision making in bacteria, animals, humans, and computer networks.
Collective intelligence is the capacity of human communities to evolve towards higher order complexity and harmony.
Collective Intelligence of Pierre Levy
Levy, in his book "World Philosophy" (2000), human race has been made group intelligence with communicating to intellectual abilities and assets using the technology of printing, communications and transportation, the collective intelligence can achieve that integration of human race through communication in cyber space.


Basically, the theory of collective intelligence in cyber space could be a fundamental notion for movement of visual works, and the project also could be a visual demonstration of this theory as the way of interaction in net-art.
Emoticons in Social Networks
I found a simple and interesting result when I was researching online cultures. According to SearchTwitter.com, they looked at about four million Twitter status updated messages (tweets) collected from the public time line over a seven-day period running from 27th April to 3rd May 2008. The research was about what people say when they tweet.
Two kinds of results came up from this research. First of all, there is a list of the top five words people send.
1. Test 2. lol 3. Working 4. : ) 5. Sleeping
The other result is that there were three main types of conversations.
1. Everyday occurrence 2. Short term issue 3. Long term issue
From this research, I became interested in two words of the first result – “lol”, “: )” - and first type of conversation in the second result – “Everyday occurrence”.
Therefore, I could get a proposition from this, which is that people express their feeling naturally in the sentences as emoticons rather than using a phrase for that.
So, I decided to use emoticons to explore people’s expression of instant emotion on the Internet. The emoticon is a textual expression representing the face of a writer’s mood or facial expression.


Emoticon in Cyber Space?
Another way of sharing a writer’s feeling regardless different languages, locations and origins.


The Project, We are Happier than Me ;
An emoticon can be individual unit to explore people’s expression of instant feeling.
And that could be fundamental material for visual demonstrating the influence of collective intelligence

the project consist of two parts of visualisation, which are part of statistic and asthetic.

Statistic - a number of dot represent how many people are using emoticons
More dots make bigger group!
The dots in small group can be dispersed easily because a power of pulling each other is not strong. The big group is getting bigger and sturdier mob. Even though the mob is dispersed by extrinsic pressure the dots will re-start gathering

Asthetic - collected data can make beautiful digital flower which has different shapes and colours depending on a mount of data.
More dots make more beautiful flower!
The digital flower has different shapes, sizes, colours and complexities these differences are created by how many people are smiling or not.
For being beautiful flower, it needs sunshine, water and soil. In this project, These conditions for the digital flower could be people’s participation of expression.
Friday, 26 March 2010
Leaning Cycle 02
However, before creating the system for visualisation, I needed some systematic understanding about the parameters of online networking because the parameters could be a key sector of this visualisation work.
Visualisation MA blogs
I have investigated some data set that could be useful, practical research work then I decided to use the data from blogs of MA students in Ravensbourne and create some visualisation works with collecting data set from these blogs.
Data collection
First of all, I needed to prepare the data setup before sketching visuals so I collected the data I needed through FeedReader 3.14 which is software that could help to not only collect data but also inform me of new posts up-to-date.

Data list up on Excel sheet
The data set collected was saved on an Excel sheet so that it can be shown in its entire present state of data all on one screen.
Final collected data from MA blogs
Visualisations
Posting Pattern -
Visualizing posting pattern of December 2009. The pattern is created by gender of author, date, time and length of post.


Gender Ring -
Gender Rings from posting pattern. The ring move to right side or left side each time post is uploaded. Moving right side is when female post and left side is when male post.

Background Colour -
Visualizing posting of December using background colour of MA blogs

Flying wit Followers -
This is visualizing for showing amount of followers. The blog higher position has more follower than lower position blog.

Beating with Posting -
This is a visualizing to show amount of posts in all MA blogs from September of 2009 to March of 2010.

Following Circle -
This is a visualizing to show how connected MA students are through ‘follower’.



Movement of December -
This is a visualizing of calendar for December of 2009. Each dot present a date of December and it can be bigger by number of posting.


Expansion -
This is a visualizing posts to show expansion space. Each dot present MA student’s blog and it can move to expand circle space.




Accumulation -
This is a visualizing posts on MA blogs to show accumulated posts.
Each circle present one post then it can be piled up each time post is uploaded.
Friday, 19 February 2010
Learning Cycle 01
In the first learning cycle, I researched and analysed a lot of net-art projects already in existence in order to understand a foundational notion of net-art and systematic approaching methods of the previous projects, and also collected diverse knowledge of the field such as technologies used, artists and the objective of the projects relationship with net-art and visualisation networks.
Traditional visualisation
Net-art movement
The term "net-art" is used as a synonym for net-art or Internet art and covers a much wider range of artistic practices. In this wider definition, net-art means art that uses the Internet as its medium and that cannot be experienced in any other way. Often net-art has the Internet as (part of) its subject matter but this is certainly not required.
The Net-Art movement can be represented by a large number of Digital Visualization projects which show the, invisible to the users, relations between data in the internet using APIs, Networks and Statistics.

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Inspiration Project-01
Sugiwura Kohei - The map of Japan that was created by time of movement and Sugiwura Kohei.

Inspiration Project-02
Power of Ten - http://powersof10.com/
In 1977, Charles and Ray Eames made a nine-minute film called Powers of Ten that still has the capacity to expand the way we think and view our world.
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Categorisation Projects
1. Networks - Showing state networks how they are connected
- Social Network Vusualization
http://www.research.ibm.com/visual/projects/history_flow/
- Facebook Friend Wheel http://thomas-fletcher.com/friendwheel/
- Nexus http://nexus.ludios.net/
- Twitter Friends Browser
http://www.neuroproductions.be/twitter_friends_network_browser/
- Amaznode http://amaznode.fladdict.net/about_en.html
2. Display Data - Showing accumulated data for specific period
- History flow
http://www.research.ibm.com/visual/projects/history_flow/
- Browse Goods http://browsegoods.com/
- Map Amazon http://www.thepurehands.org/Amazon/
- AmazType http://amaztype.tha.jp/
- FlickrTime http://www.hottoast.org/convexstyle/flickrtime/
- Google _ VisualRank
http://www.hottoast.org/convexstyle/flickrtime/
- Name Voyager
http://www.babynamewizard.com/voyager
- Visual Disc http://lip.sourceforge.net/ctreemap.html
- Post History http://alumni.media.mit.edu/~fviegas/posthistory/vis.html
- Disignerlist
http://www.matthiasdittrich.com/projekte/dliste/visualisations/index.html
- Non-Geographic Mapping
http://www.number27.org/assets/work/extras/maps/traveltime/index.html
The Whale Hunt http://thewhalehunt.org/
3. Data Collection - Combining Existing Data through Specific Topic
- We Feel Fine http://www.wefeelfine.org/
- Loveline http://love-lines.org/
- UNIVERSE http://universe.daylife.com/
- I Want You to Want to Me http://iwantyoutowantme.org/
- Phylotaxis http://phylotaxis.com/
- Dumpster http://www.tate.org.uk/netart/bvs/thedumpster.htm
- NetFlix Similarity Map http://bit.ly/6YWhR3
- Flicker Flow http://noplace.someprojects.info/
- Tagged Colour http://nuthinking.com/did/tagged_colors_03/
4. Re-generation - Regenerated visualization from Existing Data
- Dream Line http://solaas.com.ar/dreamlines/
- The shape of song
http://www.turbulence.org/Works/song/mono.html
- No Money No Problem http://nickhardeman.com/blog/?p=244
- Locative Painting
http://www.locativepainting.com.br/flash.html?opcao=1&linguagem=EN
- No Place http://noplace.someprojects.info/
- Void http://solaas.com.ar/works/void/
- Today http://today.cada1.net/main.php
- Barcode Plantage http://www.barcode-plantage.com/
5. Functionality- Visualization for Specific and Valuable Function
- PostModernNew http://noplace.someprojects.info/
- Social Collider http://socialcollider.net/
- TweetCatcha http://a.parsons.edu/~drumb588/tweetcatcha/
- Flshmap http://www.fleshmap.com/index.html