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

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書目名稱Social Informatics影響因子(影響力)




書目名稱Social Informatics影響因子(影響力)學科排名




書目名稱Social Informatics網(wǎng)絡公開度




書目名稱Social Informatics網(wǎng)絡公開度學科排名




書目名稱Social Informatics被引頻次




書目名稱Social Informatics被引頻次學科排名




書目名稱Social Informatics年度引用




書目名稱Social Informatics年度引用學科排名




書目名稱Social Informatics讀者反饋




書目名稱Social Informatics讀者反饋學科排名

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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.

Anthem

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.

POWER

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