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A High-Performance Graph Engine for Efficient Social Network Analysisopen access

Authors
Jo, Yong-YeonJang, Myung-HwanJung, HyungsooKim, Sang-Wook
Issue Date
Apr-2018
Publisher
Association for Computing Machinery, Inc
Keywords
big data; graph processing; social network
Citation
The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018, pp.61 - 62
Indexed
SCOPUS
Journal Title
The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
Start Page
61
End Page
62
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150237
DOI
10.1145/3184558.3186929
ISSN
0000-0000
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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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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