Recently we’ve posted on Friendfeed a visualisation of Italian Friendfeed users extracted from the data we’ve collected in 2009. Since the map started an interesting debate (you can read it here – in Italian -) we thought to write a short post explaining how the map has been done and what are its limits and possibilities.
The map is based on a network made of 8024 nodes with 244542 edges (even if the map shows only the nodes with more than 147 followers but statistical values have been counted on the whole network).
Categories: Research,SIGSNA project
- Published:
- September 22, 2010 – 9:02 am
- Author:
- By Luca
Few days ago Axle Burns and the people from “Mapping online publics” posted a very interesting article about mapping the Australian election following #ausvote tweets. The idea behind that was rather good and simple: by mapping all the messages containing the conventional reply symbol (@username) one could map the conversational network surrounding a specific topic (defined by the #hashtag). Of course this methods has some limitations (clearly explained by Axle), nevertheless it can be use to produce a rough map of the conversational network.
Since some time ago we’ve downloaded (using Twapperkeeper – the same service used by Axel) all the tweets with the hashtag #ukge2010 (the “official” hashtag about Uk general elections) we have decided to do the same analysis on Uk tweets.
Categories: Research,SIGSNA project
Tagged: signsa, sna, ukge2020
- Published:
- September 19, 2010 – 9:07 pm
- Author:
- By Luca
We’ve been recently awarded of High Performance Computer resources by the CINECA – the Italian Consortium for high performance computing. We submitted an application a C class project (test and development) and now we we can use up to 20.000 CPU hours of the CINECA SP6 System. This open a brand new scenario in our [...]
Categories: Research,SIGSNA project
- Published:
- September 13, 2010 – 9:50 am
- Author:
- By Luca