• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2011 IEEE International Conference on Intelligence and Security Informatics >Analyzing social media in escalating crisis situations
【24h】

Analyzing social media in escalating crisis situations

机译：在不断升级的危机情况下分析社交媒体

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The rapid diffusion of information and opinions through social media, such as web forums and micro-blogs, is affecting the development of crisis situations, such as the Iranian presidential election, the Egyptian protest, and the ROKS Cheonan sinking. Understanding this rapid widespread diffusion, and assessing what information is spreading, what ideas are becoming common, and who is talking about what, is critical for crisis management. This paper presents a computational system for social media assessing the flow of ideas on the web and changes in who is talking about what. This system, given raw social media data, identifies the key topics, the key paths by which topics evolve, the key individuals who contribute to the topic, and the key influence relations between the contributors. We present this system implemented with the Author-Topic model, the meta-network model, and various computational techniques to find and filter the heavy contributors and influences. We demonstrate the performance of the system, by applying it to social media data surrounding the ROKS Cheonan sinking. We describe the results of assessing the initial and changing perceptions of the event using this system.
机译：通过社交媒体（例如网络论坛和微博）迅速传播信息和意见，这正在影响危机局势的发展，例如伊朗总统选举，埃及抗议活动和韩国天安号沉没。了解这种迅速的广泛传播，并评估哪些信息正在传播，哪些想法正在变得普遍，以及谁在谈论什么，这对于危机管理至关重要。本文介绍了一种用于社交媒体的计算系统，用于评估网络上的思想流以及谁在谈论什么的变化。在给定原始社交媒体数据的情况下，该系统可识别关键主题，主题演变的关键路径，为该主题做出贡献的关键个人以及贡献者之间的关键影响关系。我们目前使用Author-Topic模型，元网络模型和各种计算技术来实现该系统，以查找和过滤沉重的贡献者和影响​​力。通过将其应用于围绕ROKS天安号沉没的社交媒体数据，我们演示了该系统的性能。我们描述了使用此系统评估事件的初始和变化感知的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号