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» Sampling Representative Users from Large Social Networks
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PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
TSMC
2002
110views more  TSMC 2002»
13 years 7 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
INFOCOM
2008
IEEE
14 years 1 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien
MM
2004
ACM
206views Multimedia» more  MM 2004»
14 years 28 days ago
Seeing sounds: exploring musical social networks
Information gathering from multimedia retrieval systems is aided by effective visualization, but the degree to which visualization is effective depends in part on the way the cont...
Piotr D. Adamczyk
UIC
2010
Springer
13 years 5 months ago
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
As a result of the recent explosion of sensor-equipped mobile phone market, the phenomenal growth of Internet and social network users, and the large deployment of sensor network i...
Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu