keloid 发表于 2025-3-30 10:48:27
Andreas Größlerd on the topic relevance between a link and the target message. Once the propagation probability is estimated, we adopt the standard greedy algorithm for influence maximization to find seed users. This approach is topic-aware in that the target message finds its way of propagation according to its tCommon-Migraine 发表于 2025-3-30 13:32:46
http://reply.papertrans.cn/67/6633/663283/663283_52.png跑过 发表于 2025-3-30 16:48:06
http://reply.papertrans.cn/67/6633/663283/663283_53.pngmitten 发表于 2025-3-30 20:45:26
http://reply.papertrans.cn/67/6633/663283/663283_54.pngexorbitant 发表于 2025-3-31 04:34:11
http://reply.papertrans.cn/67/6633/663283/663283_55.pngCONE 发表于 2025-3-31 08:58:17
http://reply.papertrans.cn/67/6633/663283/663283_56.png全能 发表于 2025-3-31 09:31:07
Michael Hülsmann,Christine Wyciskngagement on social media platforms. Using additional experiments on a Twitter dataset, we then show how the formulation can be applied to real-world social media datasets. Finally, we derive a centrality metric that takes into account both the mechanisms of activation and provides for an accurate,使混合 发表于 2025-3-31 15:03:12
Marion Weissenberger-Eibl,Selma Kölblowards a common goal. We describe algorithms that identify effective expert teams within a network of experts. The chapter is a survey of different algorithms for expertise evaluation and team identification. We highlight the basic algorithmic problems and give some indicative algorithms that have b