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- W4285168995 abstract "In many real-world applications, relationships between two different types of entities (e.g., user-item people-location and author-paper) are naturally modeled as bipartite networks. When analyzing bipartite networks, CSMs and CSS techniques play an important role in many aspects including network measurement, dense region discovering, and network reinforcement. To meet the high demands in the era of big data, novel CSMs and CSS solutions over bipartite networks have been proposed recently. In this chapter, we extensively review existing studies of CSS over bipartite networks in the literature. Specifically, we discuss the core-, truss-, clique-, connectivity-, and density-based models and the solutions to search subgraphs following these models over bipartite networks." @default.
- W4285168995 created "2022-07-14" @default.
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- W4285168995 date "2022-01-01" @default.
- W4285168995 modified "2023-09-27" @default.
- W4285168995 title "CSS on Bipartite Networks" @default.
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- W4285168995 doi "https://doi.org/10.1007/978-3-030-97568-5_3" @default.
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