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» Small world models for social network algorithms testing
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ICASSP
2010
IEEE
13 years 7 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
SIGIR
2009
ACM
14 years 2 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&...
MHCI
2005
Springer
14 years 1 months ago
Searching common experience: a social communication tool based on mobile ad-hoc networking
As small digital cameras become more popular, opportunities to take photos are rapidly increasing. Photo sharing is a great way to maintain and revitalize relationships between fa...
Michimune Kohno, Jun Rekimoto
ASUNAM
2011
IEEE
12 years 7 months ago
Content-based Modeling and Prediction of Information Dissemination
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
Kathy Macropol, Ambuj K. Singh
ICASSP
2011
IEEE
12 years 11 months ago
3D image geo-registration using vision-based modeling
Image geo-registration is the process of relating a photograph and its pose to referenced world coordinates. The application is relevant, especially to the social networking, phot...
Karl Ni, Zachary Sun, Nadya Bliss