Towards a distributed local-search approach for partitioning large-scale social networks

Large-scale social graph data poses significant challenges for social analytic tools to monitor and analyze social networks. A feasible solution is to parallelize the computation and leverage distributed graph computing frameworks to process such big data. However, it is nontrivial to partition soci...

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Bibliographic Details

Published in:	Information sciences Vol. 508; pp. 200 - 213
Main Authors:	Zheng, Bin, Liu, Ouyang, Li, Jing, Lin, Yong, Chang, Chong, Li, Bo, Chen, Tefeng, Peng, Hao
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2020
Subjects:	Graph partitioning Local search algorithm Social network Graph partitioning Social network Local search algorithm
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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