GenderArtNetSamples

From CopyCult

Here are a few images that resulted from a few try-outs made using the informations encoded by the editorial team.

This page contains samples, so they are still not absolutely exact/complete in how they interpret the data, but it gives a first idea of the potential of the information.

Table of contents

1 Sample 1 2 Sample 2 3 Sample 3 4 Sample 4 5 Sample 5 6 Sample 6 7 Coming soon 8 References

Sample 1

The first approach was to look for keywords and try to simply visualize them as tag clouds(1). A tag cloud is an image produced by a list of keywords where the font size of the keywords represent how much this keyword is used in the dataset. Ie. if a term is used 6 times more than the others, it will be six times bigger.

fig.1 a tag cloud that represent the use of the keywords used by the editorial group to describe the works of the artists. Comment: Looking at the bigger words in the picture one can see that the keywords describing the medium the artist is using are more important that the keywords describing the themes or other artists names. Which means that at the moment, the description by media seems to be more consensual than the description by theme. View in high resolution (http://www.stormy-weather.be/wiki/index.php/Image:Sample1.png)

Sample 2

The second approach was to look at the words that were redundant in the webpages referred to by the editorial group.

fig.2 The information that seems the most important is a combination of time and place (September, Istanbul), medium (photo,video) and the affiliation to art and feminism (feminism, art) View in high resolution (http://www.stormy-weather.be/wiki/images/7/76/Sample2.png)

Important

It is somehow logical that the time and place information doesn't appear in the first figure since fig. 1 only maps the keywords entered by the editorial group. It is also logical not that the affiliation to art and feminism is absent from fig. 1 since all the members of the editorial team assumed that the artists they were describing were associated to art and feminism. What is striking to see, though, is that the thematic elements are even less important in this view. Apart from the word participatory, we can't see any theme-related info.

Sample 3

The third approach is a first attempt to use the location-based information. In this case, the artists are plotted on the world map using their city/country of origin. The white contour is produced by connecting the dots.

fig.3 (http://www.stormy-weather.be/wiki/images/d/d8/Sample3.png) The white shape produced by connected the dots gives an idea of how to visualize how dispersed are the artists on the globe. View in high resolution (http://www.stormy-weather.be/wiki/images/d/d8/Sample3.png)

Sample 4

The smallest red shape is created by connecting the locations of origin of the artists with the keyword performance. The biggest one is produced by connecting the locations of origin of the artists with the keyword gender role.

View in high resolution (http://www.stormy-weather.be/wiki/images/6/6e/Gan_all_kw_contributor_a_s.png)

Sample 5

For each keyword, a shape is created by connecting the locations of the artists using this keyword (Beware this is a simulation).

View in high resolution (http://www.stormy-weather.be/wiki/images/5/50/Poly-youpie.png)

Sample 6

The further the words are from the center, the most important they are. The words are more important because they allow to differentiate the artists, not bcause they are the most redundant.

View in high resolution (http://www.stormy-weather.be/wiki/images/9/9c/Motartiste.jpeg)

Coming soon

Design samples by Ludivine and database interface by nicolas

References

(1)A tag cloud or word cloud (or weighted list in visual design) is a visual depiction of user-generated tags, or simply the word content of a site, used typically to describe the content of web sites. Tags are usually single words and are typically listed alphabetically, and the importance of a tag is shown with font size or color. Thus both finding a tag by alphabet and by popularity is possible. The tags are usually hyperlinks that lead to a collection of items that are associated with a tag. Reference Wikipedia: http://en.wikipedia.org/wiki/Tag_cloud