BIRS Workshop Lecture Videos
Mining Large-scale Networks Koutra, Danai
Graphs naturally represent information in a wide range of disciplines, from social science to biology and transportation engineering. These graphs often span millions or even billions of nodes and interactions between them. Within this deluge of interconnected data, how can we extract useful knowledge, understand the underlying processes, and make interesting discoveries This tutorial will focus on fundamental problems in large-scale graph mining including ranking, clustering and community detection, summarization, similarity, alignment, pattern discovery, and anomaly detection. It will also present challenges and open problems, and invite discussion of how some of these may be addressed by combining network science with the power of crowds.
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