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» Small world models for social network algorithms testing
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ICASSP
2010
IEEE
15 years 4 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
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&...
MHCI
2005
Springer
15 years 9 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
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ASUNAM
2011
IEEE
14 years 4 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
14 years 8 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