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[1] Lu Qin,et al. Efficient Bitruss Decomposition for Large-scale Bipartite Graphs , 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).
[2] Chen Zhang,et al. CoreCube: Core Decomposition in Multilayer Graphs , 2019, WISE.
[3] Michael Ley,et al. The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives , 2002, SPIRE.
[4] Benjamin Moseley,et al. Fair Hierarchical Clustering , 2020, NeurIPS.
[5] Ying Zhang,et al. Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems , 2020, IEEE Transactions on Knowledge and Data Engineering.
[6] Fan Zhang,et al. Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem , 2017, AAAI.
[7] M E Newman,et al. Scientific collaboration networks. I. Network construction and fundamental results. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[8] Hui Li,et al. Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core , 2017, CIKM.
[9] Silvio Lattanzi,et al. Fair Clustering Through Fairlets , 2018, NIPS.
[10] Fan Zhang,et al. Efficient Graph Hierarchical Decomposition with User Engagement and Tie Strength , 2020, DASFAA.
[11] Aristides Gionis,et al. The community-search problem and how to plan a successful cocktail party , 2010, KDD.
[12] Lijun Chang,et al. Index-Based Densest Clique Percolation Community Search in Networks , 2018, IEEE Transactions on Knowledge and Data Engineering.
[13] Venkatesan Guruswami,et al. CopyCatch: stopping group attacks by spotting lockstep behavior in social networks , 2013, WWW.
[14] Christos Faloutsos,et al. Fast Random Walk with Restart and Its Applications , 2006, Sixth International Conference on Data Mining (ICDM'06).
[15] Lu Qin,et al. StructSim: Querying Structural Node Similarity at Billion Scale , 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).
[16] Jeffrey Xu Yu,et al. Querying k-truss community in large and dynamic graphs , 2014, SIGMOD Conference.
[17] Lu Qin,et al. Efficient (α\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\alpha $$\end{document}, β\documentclass[12pt]{minimal} \u , 2020, The VLDB Journal.
[18] Sara Ahmadian,et al. Fair Correlation Clustering , 2020, AISTATS.
[19] Peixiang Zhao,et al. Truss-based Community Search: a Truss-equivalence Based Indexing Approach , 2017, Proc. VLDB Endow..
[20] Frank Schweitzer,et al. A k-shell decomposition method for weighted networks , 2012, ArXiv.
[21] Haixun Wang,et al. Local search of communities in large graphs , 2014, SIGMOD Conference.
[22] Xiaodong Li,et al. Effective Community Search over Large Spatial Graphs , 2017, Proc. VLDB Endow..
[23] Jennifer Widom,et al. SimRank: a measure of structural-context similarity , 2002, KDD.
[24] Xuemin Lin,et al. Efficient Community Search with Size Constraint , 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).
[25] Andrew McCallum,et al. Paper Matching with Local Fairness Constraints , 2019, KDD.
[26] Zhaonian Zou,et al. Bitruss Decomposition of Bipartite Graphs , 2016, DASFAA.
[27] Kai Wang,et al. Efficient Computing of Radius-Bounded k-Cores , 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).
[28] E. Almaas,et al. s-core network decomposition: a generalization of k-core analysis to weighted networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] Fan Zhang,et al. Exploring Finer Granularity within the Cores: Efficient (k,p)-Core Computation , 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).
[30] Jun Wang,et al. Unifying user-based and item-based collaborative filtering approaches by similarity fusion , 2006, SIGIR.
[31] Nicola Barbieri,et al. Efficient and effective community search , 2015, Data Mining and Knowledge Discovery.
[32] Xiaodong Li,et al. On Spatial-Aware Community Search , 2019, IEEE Transactions on Knowledge and Data Engineering.
[33] Laks V. S. Lakshmanan,et al. Attribute-Driven Community Search , 2016, Proc. VLDB Endow..
[34] Ying Zhang,et al. A survey of community search over big graphs , 2019, The VLDB Journal.
[35] Xuemin Lin,et al. Efficient (α, β)-core Computation: an Index-based Approach , 2019, WWW.
[36] Yun Zhang,et al. On finding bicliques in bipartite graphs: a novel algorithm and its application to the integration of diverse biological data types , 2013, BMC Bioinformatics.
[37] Reynold Cheng,et al. Efficient Algorithms for Densest Subgraph Discovery , 2019, Proc. VLDB Endow..
[38] Ying Zhang,et al. Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs , 2020, Inf. Sci..
[39] Kai Wang,et al. Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks , 2018, Proc. VLDB Endow..
[40] Reynold Cheng,et al. Effective Community Search for Large Attributed Graphs , 2016, Proc. VLDB Endow..
[41] Ali Pinar,et al. Peeling Bipartite Networks for Dense Subgraph Discovery , 2016, WSDM.
[42] ZhengZibin,et al. Finding weighted k-truss communities in large networks , 2017 .
[43] Alex Thomo,et al. K-Core Decomposition of Large Networks on a Single PC , 2015, Proc. VLDB Endow..
[44] Laks V. S. Lakshmanan,et al. Approximate Closest Community Search in Networks , 2015, Proc. VLDB Endow..
[45] Hongzhi Wang,et al. Effective and Efficient Community Search Over Large Directed Graphs , 2019, IEEE Transactions on Knowledge and Data Engineering.
[46] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[47] Fan Zhang,et al. OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks , 2017, Proc. VLDB Endow..