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KDD
2009
ACM
174views Data Mining» more  KDD 2009»
16 years 4 months ago
Audience selection for on-line brand advertising: privacy-friendly social network targeting
This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
Foster J. Provost, Brian Dalessandro, Rod Hook, Xi...
MIDDLEWARE
2010
Springer
15 years 2 months ago
The Gossple Anonymous Social Network
While social networks provide news from old buddies, you can learn a lot more from people you do not know, but with whom you share many interests. We show in this paper how to bui...
Marin Bertier, Davide Frey, Rachid Guerraoui, Anne...
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
15 years 2 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
132
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SIGIR
2009
ACM
15 years 10 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&...
WWW
2007
ACM
16 years 4 months ago
Finding community structure in mega-scale social networks: [extended abstract]
[Extended Abstract] Ken Wakita Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku Tokyo 152-8552, Japan wakita@is.titech.ac.jp Toshiyuki Tsurumi Tokyo Institute of Technolog...
Ken Wakita, Toshiyuki Tsurumi