Efficient $$(\alpha , \beta , \gamma )$$-Core Search in Bipartite Graphs Based on Bi-Triangles
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-7238-4_20
Reference16 articles.
1. Ding, D., Li, H., Huang, Z., Mamoulis, N.: Efficient fault-tolerant group recommendation using alpha-beta-core. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM ’17, Association for Computing Machinery, New York, NY, USA, pp. 2047–2050 (2017)
2. Zou, Z.: Bitruss decomposition of bipartite graphs. In: Navathe, S.B., Wu, W., Shekhar, S., Du, X., Wang, S.X., Xiong, H. (eds.) Database Systems for Advanced Applications, pp. 218–233. Springer International Publishing, Cham (2016)
3. Yang, Y., Fang, Y., Orlowska, M.E., Zhang, W., Lin, X.: Efficient bi-triangle counting for large bipartite networks. Proc. VLDB Endowment 14(6), 984–996 (2021)
4. He, Y., Wang, K., Zhang, W., Lin, X., Zhang, Y.: Exploring cohesive subgraphs with vertex engagement and tie strength in bipartite graphs. Inf. Sci. 572, 277–296 (2021)
5. Cui, W., Xiao, Y., Wang, H., Wang, W.: Local search of communities in large graphs. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD ’14, Association for Computing Machinery, New York, NY, USA, pp. 991–1002 (2014)
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