具体
发表于 2025-3-25 06:40:10
When Will a Repost Cascade Settle Down?tantial previous work has studied and predicted various aspects of repost cascades such as growth, burst and recur. However, how or even whether it is possible to predict when a repost cascade will settle down remains to be an open problem. Existing models cannot be directly applied to solve the pro
强行引入
发表于 2025-3-25 08:37:14
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Criteria
发表于 2025-3-25 13:05:47
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithmsence and public transportation. Observe that the existing approaches only consider the clique instances where feature instances form a clique and may neglect some important spatial correlations among features in practice, in this paper, we introduce . to measure the prevalence of co-location pattern
Communal
发表于 2025-3-25 15:57:28
Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attribut node attributes. The proposed approach relies on an innovative Bayesian probabilistic model of the statistical relationships among communities, roles, behavioral role patterns and attributes. Essentially, under the devised model, behavioral role patterns define the abstract social functions underly
Flustered
发表于 2025-3-25 21:38:36
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加强防卫
发表于 2025-3-26 00:41:28
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尖叫
发表于 2025-3-26 05:39:28
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dilute
发表于 2025-3-26 10:24:06
Extractive Summarization via Overlap-Based Optimized Pickingmethod, OGP proves above . of optimal solution. Since citation context is composed of objective evaluations, OGP also solves subjectivity problem. Our experiment results show that OGP outperforms other baseline methods. And various criteria proves effectively involved under the control of single parameter ..
Watemelon
发表于 2025-3-26 14:24:09
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Innovative
发表于 2025-3-26 18:59:45
Mining Co-location Patterns with Dominant Featuresures. Thirdly, an efficient algorithm is proposed for mining DFCP. Finally, we offer an experimental evaluation of the proposed algorithms on both real data sets and synthetic data sets in terms of efficiency, mining results and significance. The results show that our method can effectively discover DFCPs.