Network Information Processing Analysis Based on Big Data Parallel Graph Partitioning Algorithm

This research proposes an efficient parallel graph partitioning algorithm for the big data environment, aiming to solve the bottlenecks of traditional clustering techniques in terms of processing speed and scalability. The algorithm adopts a multi-level graph partitioning framework, decomposing the...

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Veröffentlicht in:	Journal of computing and information technology Jg. 33; H. 3; S. 139 - 155
Hauptverfasser:	Guan, Keqing, Kong, Xianli
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Sveuciliste U Zagrebu 01.09.2025 Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva University of Zagreb Faculty of Electrical Engineering and Computing
Schlagworte:	Algorithms Big data Database design distributed, network split Electronic data processing Energy efficiency Methods network information processing parallel graph partitioning algorithm Social networks China
ISSN:	1330-1136, 1846-3908
Online-Zugang:	Volltext
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