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- W2896086182 abstract "Community search plays an important role in complex network analysis. It aims to find a densely connected subgraph containing the query node in a graph. However, the most existing community search methods do not consider the influence of nodes and can not perfectly support the search in large graphs, making them have limitations in practical applications. In this paper, we introduce a community model called center-core community based on k-core decomposition, which can both capture the influence of nodes and guarantee the cohesiveness of community. Then we devise a center-core community graph index (CCG-Index), and online search algorithms (SingleQuery and MultiQuery) which support efficient search of center-core community in optimal time. Extensive experiments on four real-world large networks demonstrate the efficiency and effectiveness of our methods." @default.
- W2896086182 created "2018-10-26" @default.
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- W2896086182 date "2018-01-01" @default.
- W2896086182 modified "2023-09-23" @default.
- W2896086182 title "Search of Center-Core Community in Large Graphs" @default.
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- W2896086182 doi "https://doi.org/10.1007/978-981-13-2922-7_6" @default.
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