首页> 外文期刊>International journal of information systems for crisis response and management >An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior
【24h】

An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior

机译:网络聚类行为的时间演化规律的实证研究

获取原文
获取原文并翻译 | 示例
           

摘要

Using questionnaire survey, this paper studied the temporal evolution rule of network clustering behavior through descriptive statistical analysis and paired samples T Test, which analyzes network clustering behavior's expression in different phases during the developing of network group event. The result shows that: For the network clustering behavior, there is no significant difference between pro-phase and meta-phase of the network group events, the top three for behavior intensity are "network public opinion" behavior, "human flesh search" behavior and "network consensus" behavior; the last three for behavior intensity are "network fatwa" behavior, "network kuso" behavior and "network consensus violence" behavior; For the network clustering behavior, there are significant differences between meta- phase and anaphase of the network group events, compared to meta- phase, the "internet gossip" behavior, "network consensus" behavior, "network fatwa" behavior and " network rally" behavior will be strengthened, " network trial" behavior will diminish. Practical application: These network group events bring so many harmful effects for the comprehensive management of cyberspace for government. To find the evolution of network clustering behavior is highly necessary for the government to take immediate and effective measures when the network group event happens.
机译:本文采用问卷调查法,通过描述性统计分析和配对样本T检验研究了网络聚类行为的时间演化规律,分析了网络聚类事件发展过程中不同阶段网络聚类行为的表达。结果表明:对于网络聚类行为,网络群体事件的前期和中期都没有显着差异,行为强度的前三位是“网络舆论”行为,“人肉搜索”行为。和“网络共识”行为;行为强度的最后三个是“网络法特瓦”行为,“网络库索”行为和“网络共识暴力”行为。对于网络群集行为,网络组事件的中期和后期之间存在显着差异,与中期相比,“互联网八卦”行为,“网络共识”行为,“网络胖子”行为和“网络集会”行为将得到加强,“网络试用”行为将减少。实际应用:这些网络团体事件给政府的网络空间综合管理带来了许多有害影响。为了发现网络集群行为的演变,对于政府在网络群体事件发生时立即采取有效措施非常必要。

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