commingle
发表于 2025-3-21 16:07:06
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和谐
发表于 2025-3-21 22:22:20
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废止
发表于 2025-3-22 03:27:29
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cauda-equina
发表于 2025-3-22 05:52:59
Interlude: Intercultural Remixes,th certain relationships. Massive networks can often be understood and analyzed in terms of these communities . In the literature, several different models for cohesive (dense) subgraphs and communities have been proposed, which we will discuss in Chapters 3–6. Specifically, dense subgraphs of
PON
发表于 2025-3-22 12:15:32
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生锈
发表于 2025-3-22 15:15:36
Birmingham’s Postindustrial Metalch on a simple graph aims to find densely connected communities containing all query nodes. In applications such as analysis of protein protein interaction (PPI) networks, citation graphs, and collaboration networks, nodes tend to have attributes. Most simple structural community search algorithms i
生锈
发表于 2025-3-22 17:05:56
Brett Lashua,Stephen Wagg,Karl Spracklenwork induced only by his or her friends is called an ego-network. Online social networks allow users to manually categorize their friends into different social circles within their ego-networks (e.g., “circles” on Google+) . The task of social circle discovery is to automatically identify
hegemony
发表于 2025-3-22 22:37:26
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征服
发表于 2025-3-23 02:35:39
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倔强不能
发表于 2025-3-23 06:43:15
Brett Lashua,Stephen Wagg,M. Selim YavuzThis chapter first lists the community search models that are not detailed in the previous chapters. We then conclude the book by discussing future directions and open problems for further research in community search over large graphs.