Pasztor, Erika Katalina | media artist
Budapest, Hungary
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custom designed large scale LED display for data-visualization of intranet content [VERBA] and
the self-organizing map [SOM] of the university's e-mail archive [SIGNA]
work in collaboration with:
Antal Bodóczky
[visual designer]
István Vomberg
[design and implementation of electronics]
Gábor Papp
[software artist]
Bálint Gábor
[software architect]
Péter Halácsy
[software architect]
Charles Simonyi Collage at the Budapest University of Technology and Economics
[system administrator]
with the generous help of
Teuvo Kohonen
Dr. Tobias Schreck
from the University of Konstanz, Department of Computer and Information Science
>> the project's blog
the project is permanently exhibited in the new building of
Corvinus University Budapest
realized in the framework of the:
Art Universitas Programme
with the
Wallis Real Estate
Verba Popularia
Electronic mails are one of our most important communication tools. No matter how much spamming is disturbing us, we can not do without e-mails. Recognizing, filtering and automatic deleting of spam became an extremely important task for servers and e-mail clients using special algorithms based on several practical results of researches in the field of artificial intelligence. With time- and content-based analysing of large e-mail archives with special tools like the self-organizing map (SOM) and other visualization applications it is possible to create and show a content-based dynamic visual map of a certain e-mail archive. Presenting these dynamic maps while providing some basic background information about them, we get amazing moving images which are able to expose to view an invisible process.
Signa Popularia
Signa Popularia

The Signa Popularia part of the project will visualize the mass of electronic mails of a certain mail archive with MailSOM. The moving map of mails shows the changing character of the archive containing usuful mails and spams.

Signa Popularia
Verba Popularia

The basic concept of the piece is built on the hypothesis that there must be words with higher time-dependent incidence rate (long tail effect) in personal and group communication of a closed group of professionals, and it is possible to disclose the main directions of the communication within the circle by mining out of the most frequently used words. According to the changing themes of communication, the most popular words’ occurrences will change permanently. During the realization we made a compromise with the university to use the dynamic data of the university's intranet site [instead of the mail archive] as an input for the data-visualization to show the most popular words.

design team: Antal Bodoczky, Erika Katalina Pasztor, Istvan Vomberg [Februar 1, 2008]

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