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

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• 关键词：Twitter analytics ; Social media ; Big data ; Network analytics ; Content analytics ; Sentiment analytics ; Brand personality ; Dimensions
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9844
• 期：1
• 页码：533-544
• 全文大小：1,964 KB
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• 作者单位：Akshat Lakhiwal (22)
  Arpan Kumar Kar (22)
  
  22. Department of Management Studies, IIT Delhi, IV Floor, Vishwakarma Bhavan, Hauz Khas, New Delhi, 110016, India
  
• 丛书名：Social Media: The Good, the Bad, and the Ugly
• ISBN：978-3-319-45234-0
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9844

文摘

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.