Clustering-based Partitioning for Large Web Graphs-Reference-Cited by-同舟云学术

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Clustering-based Partitioning for Large Web Graphs

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
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Author:

Kong Deyu¹,Xie Xike¹,Zhang Zhuoxu¹

Affiliation:

1. University of Science and Technology of China,Data Darkness Lab

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835624.pdf?arnumber=9835624

Reference47 articles.

1. Selfish Load Balancing

2. Scale-free characteristics of random networks: the topology of the world-wide web

3. Emergence of Scaling in Random Networks

4. Diameter of the World-Wide Web

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PECC: parallel expansion based on clustering coefficient for efficient graph partitioning;Distributed and Parallel Databases;2024-06-10

2. Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning;Proceedings of the ACM on Management of Data;2024-05-29

3. Labeled graph partitioning scheme for distributed edge caching;Future Generation Computer Systems;2024-04

4. A Mixed-State Streaming Edge Partitioning based on Combinatorial Design;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

5. Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View;2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS);2023-07

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