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» Effectively Visualizing Large Networks Through Sampling
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CSE
2009
IEEE
14 years 4 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
NIPS
2004
13 years 11 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
INFOCOM
2010
IEEE
13 years 10 months ago
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in this paper is to obtain a representative (unbiased...
Minas Gjoka, Maciej Kurant, Carter T. Butts, Athin...
MDM
2007
Springer
148views Communications» more  MDM 2007»
14 years 4 months ago
Enforcing Data Integrity in Very Large Ad Hoc Networks
Ad hoc networks rely on nodes forwarding each other’s packets, making trust and cooperation key issues for ensuring network performance. As long as all nodes in the network belo...
Daniela Gavidia, Maarten van Steen
AVSS
2006
IEEE
14 years 4 months ago
Activity Topology Estimation for Large Networks of Cameras
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
Anton van den Hengel, Anthony R. Dick, Rhys Hill