Abstract
Existing single-machine based graph engines do not leverage the characteristic of social networks following the power-law degree distribution. We propose a new graph engine tailored for processing and analyzing large-scale social networks efficiently by exploiting the power-law degree property.
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CITATION STYLE
APA
Jo, Y. Y., Jang, M. H., Jung, H., & Kim, S. W. (2018). A High-Performance Graph Engine for Efficient Social Network Analysis. In The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018 (pp. 61–62). Association for Computing Machinery, Inc. https://doi.org/10.1145/3184558.3186929
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