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Titlebook: Social Informatics; 9th International Co Giovanni Luca Ciampaglia,Afra Mashhadi,Taha Yasser Conference proceedings 2017 Springer Internatio

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发表于 2025-3-21 17:28:40 | 显示全部楼层 |阅读模式
书目名称Social Informatics
副标题9th International Co
编辑Giovanni Luca Ciampaglia,Afra Mashhadi,Taha Yasser
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Social Informatics; 9th International Co Giovanni Luca Ciampaglia,Afra Mashhadi,Taha Yasser Conference proceedings 2017 Springer Internatio
描述.The two-volume set LNCS 10539 and 10540 constitutes the proceedings of the 9th International Conference on Social Informatics, SocInfo 2017, held in  Oxford, UK, in September 2017...The 37 full papers and 43 poster papers presented in this volume were carefully reviewed and selected .from 142 submissions. The papers  are organized in topical sections named: economics, science of success, and education; network science; news, misinformation, and collective sensemaking; opinions, behavior, and social media mining; proximity, location, mobility, and urban analytics; security, privacy, and trust; tools and methods; and health and behaviour..
出版日期Conference proceedings 2017
关键词Science of success; Education; Network science; News; Misinformation; collective sensemaking; Opinions; Beh
版次1
doihttps://doi.org/10.1007/978-3-319-67256-4
isbn_softcover978-3-319-67255-7
isbn_ebook978-3-319-67256-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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书目名称Social Informatics网络公开度学科排名




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书目名称Social Informatics读者反馈学科排名




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Conference proceedings 2017 Oxford, UK, in September 2017...The 37 full papers and 43 poster papers presented in this volume were carefully reviewed and selected .from 142 submissions. The papers  are organized in topical sections named: economics, science of success, and education; network science; news, misinformation, and
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Convergence of Media Attention Across 129 Countriesstication–explain the media attention across the countries. We conclude that this attention can be driven not only by geographical closeness but also by more complex dimensions, such as historical relationships. Also, although a group of countries often have common media attention, their similarity level depends on time and topic.
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The Digital Flynn Effect: Complexity of Posts on Social Media Increases over Times increases with age. Finally, we demonstrate that overall language complexity of posts on the social networking site is constantly increasing. We call this phenomenon the digital Flynn effect. Our results may suggest that the worries about language degradation are not warranted.
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Predicting Multiple Risky Behaviors via Multimedia Contentwe propose a deep learning neural network constructed by combining recurrent neural networks (RNN) and convolutional neural networks (CNN) to effectively predict whether an Instagram user will conduct which kind of risky behaviors in the near future.
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Discovering the Typing Behaviour of Parkinson’s Patients Using Topic Modelsing a clear shift in terms of key stroke duration. Our results further support the utilisation of key stroke logs for the early onset detection of Parkinson’s disease, while the method presented is straightforwardly generalisable to similar applications.
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The Digital Flynn Effect: Complexity of Posts on Social Media Increases over Timems and loose grammar typical for social media as evidence of language degradation. In this paper, we use a simple measure of text complexity to investigate how the complexity of public posts on a popular social networking site changes over time. We analyze a unique dataset that contains texts posted
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