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Authentic chatter
Computational and Mathematical Organization Theory ( IF 1.8 ) Pub Date : 2019-11-09 , DOI: 10.1007/s10588-019-09299-0
Bruce Forrester

This operations research aims to derive an easy but meaningful method for practitioners to identify key influencers and uncover suppressed narratives within a Twitter topic group. This research employs a new concept called “authentic chatter” (analogous to a grass-roots discourse) in combination with influence metrics, content analysis, and commercial-off-the-shelf social media analysis software (NexaIntelligence). The mixed-method exploits the power of social network analysis to determine a small but prominent group of influencers that provides a manageable dataset for the qualitative review of the content. This paper reviews research on social influence and identifies two local influence theories, “indegree” and “retweet”, ideal for topical discussion. Next it reviews Twitter content analysis research looking at specific details on methods. Findings from this past research guide development of a new methodology. The research concludes that use of a prominent group and filtering for authentic chatter increased the signal to noise ratio highlighting important underlying themes within the topic.



中文翻译:

真实的chat不休

这项运筹学旨在为从业者提供一种简单但有意义的方法,以供其从业人员识别关键影响者并揭示Twitter主题组中被压抑的叙述。这项研究采用了一种称为“真实聊天”(类似于基层话语)的新概念,并结合了影响力指标,内容分析和商用的社交媒体分析软件(NexaIntelligence)。混合方法利用社交网络分析的力量来确定一小群但有影响力的影响者,这些影响者为内容的质量审查提供了可管理的数据集。本文回顾了有关社会影响力的研究,并确定了两种本地影响力理论,即“学位”和“转推”,这是进行专题讨论的理想选择。接下来,它回顾Twitter内容分析研究,着眼于方法的具体细节。过去的研究结果为开发新方法提供了指导。研究得出的结论是,使用突出的组并进行真实的颤动滤波可以提高信噪比,从而突出显示该主题中的重要基础主题。

更新日期:2020-04-18
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