Titlebook: Cohesive Subgraph Search Over Large Heterogeneous Information Networks; Yixiang Fang,Kai Wang,Wenjie Zhang Book 2022 The Author(s), under

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Introduction,ing CSS over large HINs, which has found a large number of real applications. In this chapter, we focus on providing the necessary background of CSS over large HINs, and give an introduction to the research field to highlight the popularity and applications in the topic of CSS. More specifically, we

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CSS on Bipartite Networks,y 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 bi

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CSS on Other General HINs,, forming numerous, large, interconnected, and sophisticated networks, which are often called heterogeneous information networks (HINs) in the literature. For instance, Twitter contains 326 million monthly active users in over 160 countries, and they generate over 500 million daily tweets, including

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