Gothenburg

ISA 2010 | Gothenburg

SIGSNA:an empirical analysis of news propagation path in social network sites.

Luca Rossi – University of Urbino “Carlo Bo”[email protected]


Global phaenomenon, expressing cultural peculiarities.


What is propagation in Friendfeed?


Local Global

User Prob. of exposition Avg. audience

Time Delay of reception Avg. lifetime

How we can observe propagation?


data

All public entries (post and related comments)

(Sept. 6 –Sept. 19 2009) ≃ 10.500.000 posts 500.000 likes. ≃ 450.000 users. ≃ 15.000.000 di archi (subs).≃


case study: a propagation

Mike Bongiorno (famous Italian TV host) died on Sept. 8 2010. The news appears in Friendfeed at 01.57 PM:- First entry 130 comments- All entries 585 comments


Using timestamps and network of followers we have been able to track the propagation paths identifying major hubs.


Long propagation chains No propagation

Short propagation chains


Explicit news sharing is followed by chatting and discussion. This kind of activity contribute to news propagation

”Bye Mike! We’re missing you!Bye granpa Mike!Mike, you’ve been a milestone of our TV

“- Explicit news propagation.- Implicit news propagation.- Mourning ritual of the networked public.


First entry has the highest informative function

Most commented entry is a long and articulated discussion


Mass media system 2.0 ?

Friendfeed Major Italian Newspapers(Il Corriere della Sera, La Repubblica)



When the news hit the Friendfeed network only SkyTg24 was broadcasting it. The selection code is up to the end user and he decides whenever a specific information is informative.



Is the evolution of news/chat that we have detected similar to couple news/reportage?


More info, papers and data:http://larica.uniurb.it/sigsna

SIGSNA is a joint research project with the department of Computer Science of the University of Bologna (Dr. Matteo Magnani) and it is partially founded by Telecom Italia.

Gothenburg

Education

Transcript of Gothenburg