• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on world wide web >The Bursty Dynamics of the Twitter Information Network
【24h】

The Bursty Dynamics of the Twitter Information Network

机译：Twitter信息网络的突发动态

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

摘要

In online social media systems users are not only posting, consuming, and resharing content, but also creating new and destroying existing connections in the underlying social network. While each of these two types of dynamics has individually been studied in the past, much less is known about the connection between the two. How does user information posting and seeking behavior interact with the evolution of the underlying social network structure? Here, we study ways in which network structure reacts to users posting and sharing content. We examine the complete dynamics of the Twitter information network, where users post and reshare information while they also create and destroy connections. We find that the dynamics of network structure can be characterized by steady rates of change, interrupted by sudden bursts. Information diffusion in the form of cascades of post re-sharing often creates such sudden bursts of new connections, which significantly change users' local network structure. These bursts transform users' networks of followers to become structurally more cohesive as well as more homogenous in terms of follower interests. We also explore the effect of the information content on the dynamics of the network and find evidence that the appearance of new topics and real-world events can lead to significant changes in edge creations and deletions. Lastly, we develop a model that quantifies the dynamics of the network and the occurrence of these bursts as a function of the information spreading through the network. The model can successfully predict which information diffusion events will lead to bursts in network dynamics.
机译：在在线社交媒体系统中，用户不仅发布，消费和重新共享内容，而且还在基础社交网络中创建新的和破坏现有的连接。虽然过去已经分别研究了这两种类型的动力学，但是对于两者之间的联系知之甚少。用户信息发布和寻求行为如何与基础社交网络结构的演变相互作用？在这里，我们研究网络结构对用户发布和共享内容做出反应的方式。我们检查了Twitter信息网络的完整动态，其中用户在发布和转发信息的同时还创建和销毁了连接。我们发现，网络结构的动态可以以稳定的变化速率为特征，并由突然的突发中断。重新共享后的级联形式的信息传播通常会造成新连接的突然爆发，这会极大地改变用户的本地网络结构。这些突发事件改变了用户的关注者网络，使其在关注者兴趣方面在结构上更具凝聚力，并且更加同质。我们还探讨了信息内容对网络动力学的影响，并找到证据表明新主题和现实世界事件的出现会导致边缘创建和删除方面的重大变化。最后，我们开发了一个模型，该模型根据网络中传播的信息来量化网络的动态性和这些突发的发生。该模型可以成功预测哪些信息扩散事件将导致网络动态爆发。

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