图 书 馆
时尚的数学模型解释了网络模因的时间动态Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes |
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| 课程网址: | http://videolectures.net/icwsm2013_bauckhage_mathematical_models/ |
| 主讲教师: | Christian Bauckhage |
| 开课单位: | 德国Fraunhofer协会 |
| 开课时间: | 2014-04-03 |
| 课程语种: | 英语 |
| 中文简介: |  网络模因是社交网络上普遍存在的现象。它们通常由病毒捕捉短语，图像或通过即时消息传递，（微）博客，论坛和社交网站传播的视频组成。由于其流行和扩散，网络模因在市场营销，社会学或计算机科学等领域引起了人们的兴趣，被称为一种新的交流或艺术表现形式。在本文中，我们研究了此类主张的优点，并分析了随着时间的推移，对网络模因的集体关注是如何演变的。我们介绍并讨论了流行趋势的统计模型，并使它们适合于从Google趋势获取的与模因相关的时间序列。给定有关200多个模因的数据，我们发现与文献中以前的方法相比，我们的模型对集体关注单个互联网模因的增长和下降的动力学提供了更准确的描述。简而言之，我们的结果表明，网络模因不过是一种时尚而已。 |
| 课程简介: | Internet memes are a pervasive phenomenon on the social Web. They typically consist of viral catch phrases, images, or videos that spread through instant messaging, (micro) blogs, forums, and social networking sites. Due to their popularity and proliferation, Internet memes attract interest in areas as diverse as marketing, sociology, or computer science and have been dubbed a new form of communication or artistic expression. In this paper, we examine the merits of such claims and analyze how collective attention into Internet memes evolves over time. We introduce and discuss statistical models of the dynamics of fads and fit them to meme related time series obtained from Google Trends. Given data as to more than 200 memes, we find that our models provide more accurate descriptions of the dynamics of growth and decline of collective attention to individual Internet memes than previous approaches from the literature. In short, our results suggest that Internet memes are nothing but fads. |
| 关 键 词: | 网络模因; Google趋势获取; 模因相关时间序列; 即时消息传递 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-05-27：zyk |
| 最后编审: | 2021-05-27：zyk |
| 阅读次数: | 43 |