基于数字足迹的网络空间行为者情感心理分型方法

E. Panteleev, L. Gorokhovatskiy, D. Tsarev, A. Surikov
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引用次数: 0

摘要

本文提出了一种基于数字足迹的社交网络用户(行动者)情感心理分型的新颖方法。应用该方法,根据Heymans - Le Senne类型对8个情绪类别的主体进行了评估,这是我们研究的心理学基础。我们分析了网络空间文本信息格式中的行动者活动,并提出了确定情感、活动、首要或次要等关键标准的方法。我们分析了俄罗斯流行的类似facebook的社交网络VK的两个不同群体的数据,并确定了他们活跃用户的心理类型。我们发现,在这两个群体中,绝大多数用户(50- 60%)可能被归类为“冷漠”和“无定形”。一小部分参与者(约30%)决定了这些群体中的主要活动和情感动态是“紧张”、“冷漠”和“乐观”。这项研究的科学新颖性在于,它提出的方法具有独创性,可以解决一个复杂的、目前还不发达的问题——通过分析一个人在网络空间的活动来确定一个人的性格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for Emotional Psychotyping of Cyberspace Actors based on Their Digital Footprints
The article proposes an original approach for emotional psychotyping of social network users (actors) based on their digital footprints. Applying the approach results in the assessment of the agentś belonging to 8 emotional classes according to the Heymans - Le Senne typology, which is the psychological basis of our research. We analyze the actorś activities in the format of text messages in cyberspace and propose methods to determine the key criteria such as emotionality, activity, and primacy or secondariness. We analyzed the data of two different groups of a popular Russian Facebook-like social network VK and determined the psychotypes of their active subscribers. We have revealed that in both groups the dominating majority of users (50-60 %) may be classified as “apathetic” and “amorphous The minor part of actors (about 30 %) determine the main activity and emotion dynamics in these communities being “nervous”, “phlegmatic”, and “sanguine”. The scientific novelty of the research lies in the originality of the methods proposed for solving a complex and currently poorly developed problem - determining the character of a person by analyzing their activities in the cyberspace.
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