SIGSNA:Special Interest Group on Social Network Analysis<br />Luca Rossi - Fabio GigliettoUniversityof Urbino “Carlo BO”<br />
Background:Growing availability of User Generated Content<br />persistence/easy to search/scalability/ easy to replicate/(boyd 2007)<br />High research value of spontaneously produced contents.<br />
examples:<br />≠<br />Heidi: 1973 Top Model<br />Heidi: 1974 Anime based on JohannaSpyri’snovel.<br />
Querying the data <br />Case study: SIGSNA research on breaking news propagation on Friendfeed<br />Mike Bongiorno (famousItalian TV host) died on Sept. 8 2010. The news stroke Friendfeed at 01.57 PM:- First entry >130 comments<br />- Allentries > 585 comments<br />
How news propagate?What kind of behaviours?<br />
Using timestamps and network of followers we have been able to track the propagation paths identifying major hubs.<br />
Short propagationchains<br />Long propagationchains<br />No propagation<br />
Explicit news sharing is followed by chatting and discussion. This kind of activity contribute to news propagation<br />“<br />Bye Mike! We’re missingyou!Bye granpa Mike!<br />Mike, you’ve been a milestoneofour TV<br />”<br />
First entry has the highest informative function<br />Most commented entry is a long and articulated discussion<br />
More info, papers and data:<br />http://larica.uniurb.it/sigsna<br />SIGSNA is a joint research project with the department of Computer Science of the University of Bologna (Dr. MatteoMagnani) and it is partially founded by Telecom Italia.<br />
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