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博客圈引文级联流行模型的数据驱动分析

A Data-Driven Analysis to Question Epidemic Models for Citation Cascades on the Blogosphere
课程网址: https://videolectures.net/videos/icwsm2013_tabourier_epidemic_mod...  
主讲教师: Lionel Tabourier
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2014-04-03
课程语种: 英语
中文简介:
博客网络中的引用级联通常被认为是信息在这个社交媒体上传播的痕迹。在这项工作中,我们通过对法语社区最具代表性的博客五个月活动的结构和语义分析来质疑这一观点。统计测量表明,我们的数据集与文献中的数据集有许多共同特征,表明存在相同的潜在过程。然而,对帖子内容的深入分析表明,在这种情况下,流行的类似流行病的级联描述具有误导性。一个基本模型仅考虑博主的行为及其受限的社交网络,解释了数据的几个重要统计特征。这些论点支持了这样一种观点,即引用的主要目标可能不是在博客圈传播信息。
课程简介: Citation cascades in blog networks are often considered as traces of information spreading on this social medium. In this work, we question this point of view using both a structural and semantic analysis of five months activity of the most representative blogs of the french-speaking community. Statistical measures reveal that our dataset shares many features with those that can be found in the literature, suggesting the existence of an identical underlying process. However, a closer analysis of the post content indicates that the popular epidemic-like descriptions of cascades are misleading in this context. A basic model, taking only into account the behavior of bloggers and their restricted social network, accounts for several important statistical features of the data. These arguments support the idea that citations primary goal may not be information spreading on the blogosphere.
关 键 词: 博客网络; 引用级联; 法语社区
课程来源: videolectures
数据采集: 2025-05-27:yuhongrui
最后编审: 2025-05-29:yuhongrui
阅读次数: 4