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Sentiment Propagation in Social Networks: A Case Study in LiveJournal

机译:社交网络中的情感传播:以LiveJournal为例

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摘要

Social networking websites have facilitated a new style of communication through blogs, instant messaging, and various other techniques. Through collaboration, millions of users participate in millions of discussions every day. However, it is still difficult to determine the extent to which such discussions affect the emotions of the participants. We surmise that emotionally-oriented discussions may affect a given user's general emotional bent and be reflected in other discussions he or she may initiate or participate in. It is in this way that emotion (or sentiment) may propagate through a network. In this paper, we analyze sentiment propagation in social networks, review the importance and challenges of such a study, and provide methodologies for measuring this kind of propagation. A case study has been conducted on a large dataset gathered from the LiveJournal social network. Experimental results are promising in revealing some aspects of the sentiment propagation taking place in social networks.
机译:社交网站通过博客,即时消息传递和各种其他技术促进了一种新型的交流方式。通过协作,每天有数百万用户参与数百万个讨论。但是,仍然难以确定这种讨论影响参与者情绪的程度。我们推测,以情感为导向的讨论可能会影响给定用户的总体情感倾向,并反映在他或她可能发起或参与的其他讨论中。通过这种方式,情感(或情感)可以通过网络传播。在本文中,我们分析了社交网络中的情感传播,回顾了这项研究的重要性和挑战,并提供了测量这种传播的方法。对从LiveJournal社交网络收集的大型数据集进行了案例研究。实验结果有望揭示社交网络中情绪传播的某些方面。

著录项

  • 来源
    《Advances in social computing》|2010年|p.413-420|共8页
  • 会议地点 Bethesda MD(US);Bethesda MD(US)
  • 作者单位

    Computer Science and Engineering Arizona State University Tempe, AZ 85281-8809;

    Computer Science and Engineering Arizona State University Tempe, AZ 85281-8809;

    Computer Science and Engineering Arizona State University Tempe, AZ 85281-8809;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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