Efficient multi-scale community search method based on spectral graph wavelet-Reference-Cited by-同舟云学术

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Efficient multi-scale community search method based on spectral graph wavelet

Published:2023-01-12 Issue:5 Volume:17 Page:
ISSN:2095-2228
Container-title:Frontiers of Computer Science
language:en
Short-container-title:Front. Comput. Sci.

Author:

Yan Cairui,Ma Huifang,Li Qingqing,Yang Fanyi,Li Zhixin

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s11704-022-2220-4.pdf

Reference40 articles.

1. Fortunato S. Community detection in graphs. Physics Reports, 2010, 486(3–5): 75–174

2. Capriello A, Altinay L, Monti A. Exploring resource procurement for community-based event organization in social enterprises: evidence from Piedmont, Italy. Current Issues in Tourism, 2019, 22(19): 2319–2322

3. Li S, Song X, Lu H, Zeng L, Shi M, Liu F. Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm. Expert Systems with Applications, 2020, 139: 112839

4. Fang Y, Huang X, Qin L, Zhang Y, Zhang W, Cheng R, Lin X. A survey of community search over big graphs. The VLDB Journal, 2020, 29(1): 353–392

5. Forouzandeh S, Rostami M, Berahmand K. A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model. Fuzzy Information and Engineering, 2022, 14(1): 26–50

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1. A new community detection method for simplified networks by combining structure and attribute information;Expert Systems with Applications;2024-07

2. Attribute subspace-guided multi-scale community detection;Neural Computing and Applications;2024-05-02

3. Multiresolution Local Spectral Attributed Community Search;ACM Transactions on the Web;2023-11-03

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