JOLT
发表于 2025-3-21 19:25:25
书目名称Social Informatics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0869532<br><br> <br><br>书目名称Social Informatics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0869532<br><br> <br><br>
他很灵活
发表于 2025-3-21 22:35:41
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collateral
发表于 2025-3-22 02:13:50
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aesthetician
发表于 2025-3-22 06:40:08
https://doi.org/10.1007/978-3-319-03260-3cloud computing; human computation; information processing; social network analysis; social networking
疲惫的老马
发表于 2025-3-22 10:49:59
Metro: Exploring Participation in Public Events,tions are often insufficient to capture all the information about the interactions between people over time, which could be captured better by interactive interfaces. We propose a novel system for exploring the interactions of entities over time, and support it with an application that displays interactions of public figures at events.
Encapsulate
发表于 2025-3-22 16:36:54
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去世
发表于 2025-3-22 18:08:14
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Restenosis
发表于 2025-3-22 21:49:17
Resilience of Social Networks under Different Attack Strategies,ence of these semantically different social networks under different attack strategies. Empirical analysis reveals interesting behavior of different classes of networks with different attack strategies.
Lipoprotein
发表于 2025-3-23 03:33:26
Follow My Friends This Friday! An Analysis of Human-Generated Friendship Recommendations,er ties. Finally, we build a supervised system to rank user-generated recommendations, surfacing the most valuable ones with high precision (0.52 MAP), and we find that features describing users and the relationships between them, are discriminative for this task.
攀登
发表于 2025-3-23 07:06:36
Social Listening for Customer Acquisition,d network. In addition, we could track users in a more flexible way. Despite the pre-defined dimensions, our tool is also able to track users by customized events and catch those who mention the event at an early stage.