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A Unified Framework for Decision-Making Process on Social Media Analytics

  • Nikolaos Misirlis
  • Maro Vlachopoulou
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

Data analysis originated from social media presents huge interest among researchers and practitioners. In order to understand better and clarify notions and methodologies used regarding social media analytics, a framework is needed with clear classification schemes and procedures. The objective of this paper is to develop a unified framework that clusters the possible categories of data and their interactions. Furthermore, the proposed framework indicates the procedures that have to be followed in order to achieve the most optimized choice of social media analytics (SMA) methodology, initiating the 4P’s procedure (People, Purpose, Platform, and Process). Next, the methodologies used on SMA, in specific the structural and content-based analysis, as well as their sub-methodologies (community and influencers’ detection, NLP, text, sentiment, and geospatial analysis) are indicated. The proposed framework will facilitate researchers and marketers on the decision-making process by clarifying each step, regarding the objectives, the involved parties, the social media platform, and the analysis process that can be chosen.

Keywords

Social media Social media analytics SMA framework Social data SMA methodologies Decision making 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nikolaos Misirlis
    • 1
  • Maro Vlachopoulou
    • 1
  1. 1.Department of Applied Informatics, School of Information SciencesUniversity of MacedoniaThessalonikiGreece

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