Towards a comprehensive scale of social network index: A study from investors perspectives

社交网络(社会语言学) 索引(排版) 人际关系 社会网络分析 比例(比率) 牢固的关系 计算机科学 业务 社会化媒体 万维网 心理学 社会心理学 地理 地图学
作者
Noushad khan Feroz,Gazi Hassan,Michael P. Cameron
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:147: 107826-107826
标识
DOI:10.1016/j.chb.2023.107826
摘要

Twitter is a major social media platform that helps investors to connect with their counterparts and obtain financial information through back-and-forth interactions. However, access to information on social networks depends on individuals' ties, positions, and network connectivity. In this study, we constructed a network structure and built social circle ties based on the frequency of interaction of investors, and the network size of the investors to develop a comprehensive measurement scale for the social network index. Our findings indicate that the acquisition of information in the social network of investors depends on different components or factors. A significant factor in the network index is the network degree (network connectivity). It implies that network members with higher degrees or connections acquire vast amounts of information. Likewise, investors with larger networks receive enormous amounts of information, notably "following," which is the principal component in terms of network size. As a result, network size appears as the network index's second biggest factor. The smaller contribution comes from social tie circles. However, collectively, all these factors represent the social network index.
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