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Big graph mining for the web and social media
2014
Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14
Graphs are everywhere in our lives: social networks, the World Wide Web, biological networks, and many more. These graphs are growing at unprecedented rate, now exceeding billions of nodes and edges. What are the patterns and anomalies in such massive graphs? How to design scalable algorithms to find them? What visual analytics techniques to use to make sense of such massive graphs? And what kind of real-world problems, associated with the Web and social media, can we solve with such tools?
doi:10.1145/2556195.2556198
dblp:conf/wsdm/KangAC14
fatcat:fbe7ciirlzd3xm42h3y67bw77i