论文标题
“出生于罗马”或“睡美人”：中国微博上的主题标签的出现
"Born in Rome" or "Sleeping Beauty": Emergence of hashtag popularity on the Chinese microblog Sina Weibo
论文作者
论文摘要
为了了解在线社交网络复杂系统中主题标签流行的出现，我们研究了中国最大的中国微博网站Sina Weibo，该网站具有一个热搜索列表（HSL），该搜索列表（HSL）实时显示了基于搜索活动的50个最受欢迎的标签的排名。从2020年7月17日至2020年9月17日，我们通过绘制了选择之前的相关相互作用网络，研究了从2020年7月17日至2020年9月17日成功进行了成功的史前史。我们发现，昼夜节活动模式会影响到达HSL所需的时间。在分析这段时间时，我们区分了两个极端类别：a）“出生于罗马”，这意味着主题标签首先是由超级中心创建的，或者在传播期间的早期阶段到达超级荷里，因此从广阔的公众那里引起了广泛的关注，b）“睡美人”，这意味着在刚开始和到达系统范围内的范围很少的hashtag在不可能的时间范围内广受欢迎。在进入HSL之前，成功主题标签的转发网络的演变显示出两种类型的增长模式：“平滑”和“逐步”。前者通常由超级内毂主导，后者是由于较小的集线器的连续贡献引起的。重新发布失败主题标签的网络表现出一种简单的演化模式。
To understand the emergence of hashtag popularity in online social networking complex systems, we study the largest Chinese microblogging site Sina Weibo, which has a Hot Search List (HSL) showing in real time the ranking of the 50 most popular hashtags based on search activity. We investigate the prehistory of successful hashtags from 17 July 2020 to 17 September 2020 by mapping out the related interaction network preceding the selection to HSL. We have found that the circadian activity pattern has an impact on the time needed to get to the HSL. When analyzing this time we distinguish two extreme categories: a) "Born in Rome", which means hashtags are mostly first created by super-hubs or reach super-hubs at an early stage during their propagation and thus gain immediate wide attention from the broad public, and b) "Sleeping Beauty", meaning the hashtags gain little attention at the beginning and reach system-wide popularity after a considerable time lag. The evolution of the repost networks of successful hashtags before getting to the HSL show two types of growth patterns: "smooth" and "stepwise". The former is usually dominated by a super-hub and the latter results from consecutive waves of contributions of smaller hubs. The repost networks of unsuccessful hashtags exhibit a simple evolution pattern.
