胎儿
发表于 2025-3-25 06:20:25
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圣人
发表于 2025-3-25 10:26:56
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CORE
发表于 2025-3-25 13:41:58
G. Q. Jin,W. D. Li,S. Wang,S. M. Gaothe main definitions of influence, which are based on a small set of “snapshot” observations of a social network. The former is particularly useful because large-scale social network data sets are often only available in snapshots or crawls. In our work, considering a rich dataset of user preference
攀登
发表于 2025-3-25 17:43:13
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威胁你
发表于 2025-3-25 22:59:00
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Outmoded
发表于 2025-3-26 03:21:54
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微生物
发表于 2025-3-26 06:46:55
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为宠爱
发表于 2025-3-26 11:11:58
https://doi.org/10.1007/978-981-97-3153-4real-world traffic data. We perform a set of analyses targeting the behavioural patterns of users and their impact on such systems. The first part of the analyses are focused on the properties of email communication relevant to the designers of anonymous systems. The two parameters we are interested
Inflammation
发表于 2025-3-26 15:46:47
G. Q. Jin,W. D. Li,S. Wang,S. M. Gao we study the measurement of influence within the network according to interest dependencies. We validate our analysis using the history of user social interactions on Facebook. Furthermore, this chapter shows how these ideas can be applied in real-world scenarios, namely for recommendation and advertising systems.
corpuscle
发表于 2025-3-26 17:23:02
Heribert Meffert,Christian Raucher, an effective framework for service selection of social network is proposed. The experimental results on overhead, social service deduction time, average delay have also been obtained. The results show that the proposed framework is effective.