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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Vydané v:	Information sciences Ročník 508; s. 200 - 213
Hlavní autori:	Zheng, Bin, Liu, Ouyang, Li, Jing, Lin, Yong, Chang, Chong, Li, Bo, Chen, Tefeng, Peng, Hao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.01.2020
Predmet:	Graph partitioning Local search algorithm Social network Graph partitioning Social network Local search algorithm
ISSN:	0020-0255, 1872-6291
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