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Titlebook: Social Informatics; 5th International Co Adam Jatowt,Ee-Peng Lim,Bing Tian Dai Conference proceedings 2013 Springer International Publishin

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书目名称Social Informatics
副标题5th International Co
编辑Adam Jatowt,Ee-Peng Lim,Bing Tian Dai
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Social Informatics; 5th International Co Adam Jatowt,Ee-Peng Lim,Bing Tian Dai Conference proceedings 2013 Springer International Publishin
描述This book constitutes the proceedings of the 5th International Conference on Social Informatics, SocInfo 2013, held in Kyoto, Japan, in November 2013. The 23 full papers, 15 short papers and three poster papers included in this volume were carefully reviewed and selected from 103 submissions. The papers present original research work on studying the interplay between socially-centric platforms and social phenomena.
出版日期Conference proceedings 2013
关键词cloud computing; human computation; information processing; social network analysis; social networking
版次1
doihttps://doi.org/10.1007/978-3-319-03260-3
isbn_softcover978-3-319-03259-7
isbn_ebook978-3-319-03260-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2013
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书目名称Social Informatics年度引用学科排名




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书目名称Social Informatics读者反馈学科排名




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https://doi.org/10.1007/978-3-319-03260-3cloud computing; human computation; information processing; social network analysis; social networking
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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.
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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.
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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.
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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.
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