DataMining et Analytics
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Posted November 20, 2009 in How-to , twitter | 19 Comments so far Last weekend I was looking for ways to extract Twitter search data in a structured, easily manageable format. The two APIs I was using ( Twitter Search and Backtweets ) were giving good results – but as a non-developer I couldn’t do much with the raw data they returned. Instead, I needed to get the data into a format like CSV or XLS.
Using Google Spreadsheets to extract Twitter data » brelson.com
« Graphes linguistiques multiniveau pour l'extraction de connaissances : l'exemple des collocations », Université Joseph Fourier (Grenoble-I). Centres d'intérêt : Traitement automatique des langues - Extraction d'information - Représentation de l'information par les graphes. Spécification de MuLLinG , modèle de graphe multiniveau (+ opérations) pour l'extraction de connaissances, mis en œuvre dans une bibliothèque C++ open-source. Expérimentations (été 2010) : graphes de relations entre termes dans les discours / graphes de co-occurrence à partir de Twitter .
Vincent Archer - Recherche & Développement
After recently discovering the excellent methods section on mappingonlinepublics.net , I decided it was time to document my own approach to Twitter data. I’ve been messing around with R and igraph for a while, but it wasn’t until I discovered Gephi that things really moved forward. R/igraph are great for preprocessing the data (not sure how they compare with Awk), but rather cumbersome to work with when it comes to visualization. Last week, I posted a first Gephi visualization of retweeting at the Free Culture Research Conference and since then I’ve experimented some more (see here and here ). #FCRC was a test case for a larger study that examines how academics use Twitter at conferences, which is part of what we’re doing at the junior researchers group Science and the Internet at the University of Düsseldorf (sorry, website is currently in German only).
Generating graphs of retweets and @-messages on Twitter using R and Gephi | (R news & tutorials)
Nestor est un logiciel de navigation « client » désormais compatible avec IE 7 et Windows XP. Son interface est divisée en deux parties : sur la droite on dispose d’un fureteur classique ; en revanche, la fenêtre de gauche est graphique et interactive. Le parcours de l’usager sur le Web y est automatiquement tracé. Cela permet donc de visualiser très clairement et de conceptualiser plus facilement les sites visités. De nombreuses options sont disponibles : annotation des documents visités, modification des cartes, exportation, tours…
Visualisation graphique de l'information par Pierre Nobis (2008) - Partie 2 - Cartographier ses idées
GUESS: The Graph Exploration System
About GUESS GUESS is an exploratory data analysis and visualization tool for graphs and networks. The system contains a domain-specific embedded language called Gython (an extension of Python, or more specifically Jython) which supports the operators and syntactic sugar necessary for working on graph structures in an intuitive manner. An interactive interpreter binds the text that you type in the interpreter to the objects being visualized for more useful integration. GUESS also offers a visualization front end that supports the export of static images and dynamic movies.
Apple peeps: can u recommend a high-quality monitor that pairs well with MBP w/ a matte screen? Glossy iMac all day gives me headaches. :( 1 week ago
Using Netvizz & Gephi to Analyze a Facebook Network « sociomantic labs | Real-time bidding solutions for eCommerce
Gephi, an open source graph visualization and manipulation software
Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Latest News See All » Latest Forum Topics Bastian M., Heymann S., Jacomy M. (2009).