Gothenburg

SIGSNA:an empirical analysis of news propagationpath in social network sites.
Luca Rossi –Universityof Urbino “Carlo Bo”luca.rossi@uniurb.it

Global phaenomenon, expressing cultural peculiarities.

Whatispropagation in Friendfeed?

Local
Global
User
Prob. of exposition
Avg. audience
Time
Delay of reception
Avg. lifetime
Howwe can observepropagation?

data
All public entries(post and relatedcomments)(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 (famousItalian TV host) died on Sept. 8 2010.The newsappears in Friendfeed at 01.57 PM:- First entry 130 comments
- Allentries585 comments

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

Short propagationchains
Long propagationchains
No propagation

Explicit news sharing is followed by chatting and discussion. This kind of activity contribute to news propagation
“
Bye Mike! We’re missingyou!Bye granpa Mike!
Mike, you’ve been a milestoneofour TV
”
- Explicit news propagation.
- Implicit news propagation.
- Mourningritualof 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 Corrieredella Sera, La Repubblica)

When the news hit the Friendfeed network only SkyTg24 wasbroadcastingit.
The selection code is up to the end user and hedecideswhenever a specific information is informative.

Is the evolutionof news/chat thatwehavedetectedsimilartocouple 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. MatteoMagnani) and it is partially founded by Telecom Italia.

Gothenburg

by Luca Rossi on Jul 26, 2010

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