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WWW
2009
ACM
16 years 7 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...
ICALP
2009
Springer
16 years 7 months ago
Rumor Spreading in Social Networks
Social networks are an interesting class of graphs likely to become of increasing importance in the future, not only theoretically, but also for its probable applications to ad hoc...
Flavio Chierichetti, Silvio Lattanzi, Alessandro P...
APSEC
2005
IEEE
16 years 7 days ago
Supporting Knowledge Collaboration Using Social Networks in a Large-Scale Online Community of Software Development Projects
The scale-free network shown in the small world phenomenon indicates that our human society consists of a small number of people who play the role of hubs linked with many nodes (...
Masao Ohira, Tetsuya Ohoka, Takeshi Kakimoto, Naok...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
SIGIR
2009
ACM
16 years 1 months ago
Detecting spammers and content promoters in online video social networks
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
Fabrício Benevenuto, Tiago Rodrigues, Virg&...