[Research] Blogposts visualization: semantic distance and cluster
[Research] Blogposts visualization: semantic distance and cluster
Patrick and his students did a pretty good job to visualize blogposts. They wrote a script that parsed my RDF file, then extracted the most important topics following Wise and colleagues’ method. At the end of the road, Patrick used R to compute two visualizations. The first one is a representation of the sematic distance between blogposts (thanks to Multidimensional Scaling). The second one depicts a results of a Clara cluster analysis, in which 10 clusters have been built. At the center of each cluster is a prototypical article. Another visualisation, using “magnetâ€? layout to browse topics and posts is under construction.

Even tough these visualizations are nice and interesting, they’ve having hard times making sense of them! Especially the second one, trying to infer meaning from cluster is difficult (getting back to the prototypical posts at the center of the medoids is a solution to get some insights about it).
Table of contents for Visualisation
- Aaron Koblin’s visualizations of commercial air traffic
- Google News Visualizations
- 100 Reasons You Should Be Interested in, Want to Share, and Get Excited About Data
- interactive Sankey diagrams
- map of science
- world history timeline poster
- open-source spying
- image search result tracer
- moodjam mood visualization
- shop opening hours
- interpretation vs. representation
- A Blog/Blogject [my blog dreams]
- web 2 dna
- bio & emotion mapping
- DOM mapping / websites as graph
- collision detection: Using statistics to beat traffic
- turntablism & visualization, v-scratch
- A visual exploration on mapping complex networks
- Field Works: landscape + activity visualizations
- Blogviz
- [Research] Blogposts visualization: semantic distance and cluster
- visualization of density in architecture
- Wikipedia heals in 5 minutes
- physical information sculptures
