侵略
亲密度
中间性中心性
背景(考古学)
言语攻击
计算机科学
拓扑(电路)
心理学
沟通
社会心理学
中心性
数学
毒物控制
人为因素与人体工程学
地理
组合数学
医学
考古
数学分析
环境卫生
作者
Meghdad Abarghouei Nejad,Salman Abarghouei Nejad,Azizollah Memariani,Masoud Asadpour,Javad Hatami,Mohammad Mahdi Kashani
出处
期刊:Journal of Complex Networks
[Oxford University Press]
日期:2022-12-30
卷期号:11 (1)
标识
DOI:10.1093/comnet/cnac056
摘要
Abstract In this article, we studied the role of the topological structure of semantic networking in creating verbal aggression. It is shown that centralities such as degree, betweenness and closeness play an important role in the activation of verbal aggression in the network. We have also shown that aggressive labelled nodes with spectral clustering in different spectra are often divided into two groups, with the larger group activating more aggressive labelled nodes. In addition, the parameter of eccentric distribution from the origin is introduced to study the dispersion of aggressive nodes around the specific nodes. Hence, studying two networks with different contexts shows that the dispersion of nodes with aggressive labelling around the network’s hub, as the centre of the network with political context, is much more than artistic context. In addition, different clusters of verbal aggression in the political and artistic context have the same pattern of frequency. In addition, we investigated semantic features in creating verbal aggression, showing that non-aggressive words are prone to create verbal aggression as much as aggressive words.
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