论文标题
网络极化，过滤气泡和回声室：措施和还原方法的注释回顾
Network polarization, filter bubbles, and echo chambers: An annotated review of measures and reduction methods
论文作者
论文摘要
当连接社区或社会成员的基础网络变得较弱的集体间连通性群体的特征时，就会产生两极分化。越来越多的两极分化，回声室的加强以及社交网络中信息过滤器引起的隔离越来越吸引来自不同知识领域的研究人员的注意，例如计算机科学，经济学，社会和政治科学。这项工作提出了用于处理极化的网络极化度量和模型的注释回顾。确定了几种测量图和网络中极化的方法，包括基于同质，模块化，随机步行和平衡理论的方法。用于减少两极分化的策略包括提出边缘或节点版本（包括插入或删除以及边缘重量修改）的方法，社交网络设计的变化或这些网络中嵌入的建议系统的变化。
Polarization arises when the underlying network connecting the members of a community or society becomes characterized by highly connected groups with weak inter-group connectivity. The increasing polarization, the strengthening of echo chambers, and the isolation caused by information filters in social networks are increasingly attracting the attention of researchers from different areas of knowledge such as computer science, economics, social and political sciences. This work presents an annotated review of network polarization measures and models used to handle the polarization. Several approaches for measuring polarization in graphs and networks were identified, including those based on homophily, modularity, random walks, and balance theory. The strategies used for reducing polarization include methods that propose edge or node editions (including insertions or deletions, as well as edge weight modifications), changes in social network design, or changes in the recommendation systems embedded in these networks.
