SPARK 发表于 2025-3-21 19:27:57
书目名称Collaboration Technologies and Social Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229359<br><br> <br><br>书目名称Collaboration Technologies and Social Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229359<br><br> <br><br>LAVE 发表于 2025-3-21 22:36:11
Lab-Forming Fields and Field-Forming Labsg their peers’ rankings and interacting with them anonymously. Secondly, we compare positive, neutral, and negative sentiment variations in students’ written justifications for rankings before and after collaborating. Results show that students are highly likely to change their responses in the collavulsion 发表于 2025-3-22 01:09:05
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Lab-Forming Fields and Field-Forming Labser relationship shows that pathways of dynamic information diffusion are largely determined by the static follower topology. These findings provide strategic information for managing CS-related discussions.确定的事 发表于 2025-3-22 14:23:16
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Kenju Akai,Kengo Hayashida,Nariaki Nishinoied this model to the joint Simon task. The results suggested that competition elicited better performance than cooperation. In conclusion, the classification model successfully distinguished subtle movements in the VR environment. This model could be used to analyze the state of pairs during collab演讲 发表于 2025-3-22 21:51:13
https://doi.org/10.1007/978-3-540-72358-5he network. As such, we extracted 12,985 tweets from Twitter to understand the different topics being discussed about the BRI in Indonesia. Latent Dirichlet Allocation (LDA) topic model algorithm classified the tweets into topic groups and helped us understand each topic’s underlying theme. In additEVICT 发表于 2025-3-23 01:42:58
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