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At present in most field's data sets, spectral clustering community detection algorithm is difficult to predict the number of clustering problems, this paper proposes a community detection algorithm based on multi-domain adaptive spectral clustering (MDASC). Firstly based on the local node density composition, combined with graph edge-betweenness structural similarity matrix, normalized spectral clustering,...
In the real-world, people would acquire or accept the same item, which can be a product, a service, or an event, multiple times. Meanwhile, an individual in a social network may influence others again and again. To address this phenomenon, we propose MIMA, a novel influence propagation model that describes the Multiple Influences and Multiple Acceptances of an individual on some item in a social network...
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