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Titlebook: Learning Automata Approach for Social Networks; Alireza Rezvanian,Behnaz Moradabadi,Mohammad Reza Book 2019 Springer Nature Switzerland A

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發(fā)表于 2025-3-28 16:39:33 | 只看該作者
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發(fā)表于 2025-3-28 22:48:14 | 只看該作者
Social Network Sampling,m social networks and reviewing recent social network sampling methods in the literature. Then, we introduce four sampling algorithms including DLAS, EDLAS, ICLA-NS and FLAS which utilize learning automata for producing representative subgraphs from online social networks. The DLAS and EDLAS use dis
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發(fā)表于 2025-3-29 00:00:52 | 只看該作者
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發(fā)表于 2025-3-29 03:54:21 | 只看該作者
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發(fā)表于 2025-3-29 11:10:21 | 只看該作者
Social Trust Management,another indirectly connected user, using propagating trust along reliable trust paths between the two users. The quality of trust inference based on trust propagation is affected by the length of trust paths and also different aggregation and propagation strategies for propagating and combining trus
46#
發(fā)表于 2025-3-29 13:03:17 | 只看該作者
Social Recommender Systems,e of interest for users has become a very difficult task. Recommender systems (RSs) help overcome the information overload problem by studying the preferences of online users and suggesting items they might like. Many companies and Web sites have implemented these systems to recommend products/infor
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