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Insights from Twitter Analytics: Modeling Social Media Personality Dimensions and Impact of Breakthrough Events

机译:Twitter Analytics(分析)的见解:建模社交媒体个性维度和突破性事件的影响

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Social media and big data have been in high focus due to their potentially huge impact on business, society and polity. This research contributes to the same domain and peruses the twitter community before and after an event which is a major breakthrough for an economy. Here, the event being monitored is the Union Budget-2016 in India. The research taps the occasion to understand the various groups which participate in the online discussion amongst 43,924 tweets from 22,896 users and the pre and post budget twitter metrics are analyzed, deducing the sensitivity of the groups to the day of proposal of the budget. The research framework incorporates twitter analytics and relies on visual and quantitative data, drawing inferences from the intelligence. How the personality dimensions change before and after the event, is also analyzed. This change in dimensions can directly account for the influencing nature of the social media group.
机译:社交媒体和大数据由于其对企业,社会和政体的潜在巨大影响而备受关注。这项研究对同一领域做出了贡献,并在事件发生之前和之后仔细研究了Twitter社区,这对经济而言是一项重大突破。在这里,受监控的事件是印度的2016年联合预算。该研究抓住时机,了解了来自22,896位用户的43,924条推文中参与在线讨论的各个群体,并分析了预算前和预算后的Twitter指标,从而得出了这些群体对预算提出之日的敏感性。该研究框架整合了推特分析,并依靠视觉和定量数据,从情报中得出推论。还分析了事件前后人格维度的变化。维度的这种变化可以直接说明社交媒体组的影响性质。

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