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ASUNAM
2010
IEEE
13 years 7 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
ASUNAM
2010
IEEE
13 years 7 months ago
Leveraging Contextual Information to Explore Posting and Linking Behaviors of Bloggers
The last decade has seen an explosion in blogging and the blogosphere is continuing to grow, having a large global reach and many vibrant communities. Researchers have been pouring...
Sofus A. Macskassy
ASUNAM
2010
IEEE
13 years 7 months ago
Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion
Abstract--As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms hav...
Aaron McDaid, Neil Hurley
ASUNAM
2010
IEEE
13 years 7 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
ASUNAM
2010
IEEE
13 years 4 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti