Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions
Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions
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DOI：
10.1587/nolta.13.511
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Masaki Aida;Kouichi Nagatani;C. Takano
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文献类型：
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作者：
Masaki Aida;Kouichi Nagatani;C. Takano
在线社交网络中的用户动态不仅对在线社区而且对现实世界的活动具有重大影响。作为例子，我们可以提到由社会极化，回声室现象，假新闻等引发的爆炸性用户动态的发生。爆炸性用户动态统称为火焰现象。基于波动方程的在线社交网络模型（称为振荡模型）是一种描述在线社交网络中用户动态的理论模型。该模型可用于理解爆发性用户动态（如火焰）的发生与社交网络结构之间的关系。然而，由于振荡模型是作为关于社交网络的纯理论构造引入的，因此有必要确认该模型是否正确地描述了真实的现象。在本文中，我们首先展示了一个预测的振荡模型，其中的低频振荡模式的用户动态将占主导地位时，在线社交网络中的用户活动增加。为了用实际数据验证预测，我们对电子公告板网站上的帖子日志数据和Google趋势中的单词搜索频率数据进行了频谱分析。计算结果与理论预测吻合较好，验证了理论预测的正确性.
User dynamics in online social networks have a significant impact on not only the online community but also real-world activities. As examples, we can mention the occurrence of explosive user dynamics triggered by social polarization, echo chamber phenomena, fake news, etc. Explosive user dynamics collectively refer to the phenomenon of flaming. The wave equation-based model for online social networks (called the oscillation model) is a theoretical model proposed to describe user dynamics in online social networks. This model can be used to understand the relationship between the occurrence of explosive user dynamics such as flaming and the structure of social networks. However, since the oscillation model was introduced as a purely theoretical construct with regard to social networks, it is necessary to confirm whether the model describes real phenomena correctly or not. In this paper, we first show a prediction from the oscillation model in which the low-frequency oscillation mode of user dynamics will be dominant when user activity in online social networks is increased. To verify the predictions with actual data, we show spectral analyses of both the log data of posts on an electronic bulletin board site and the frequency data of word search from Google Trends. The results support well and thus validate the predictions of the theory.