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Social Big Data: An Overview and Applications

In: Social Big Data Analytics

Author

Listed:
  • Bilal Abu-Salih

    (The University of Jordan)

  • Pornpit Wongthongtham

    (The University of Western Australia)

  • Dengya Zhu

    (Curtin University)

  • Kit Yan Chan

    (Curtin University)

  • Amit Rudra

    (Curtin University)

Abstract

The emergence of online social media services has made a qualitative leap and brought profound changes to various aspects of human, cultural, intellectual, and social life. These significant Big data tributaries have further transformed the businesses processes by establishing convergent and transparent dialogues between businesses and their customers. Therefore, analysing the flow of social data content is necessary in order to enhance business practices, to augment brand awareness, to develop insights on target markets, to detect and identify positive and negative customer sentiments, etc., thereby achieving the hoped-for added value. This chapter presents an overview of the Social Big Data term and definition. This chapter also lays the foundation for several applications and analytics that are broadly discussed in this book.

Suggested Citation

  • Bilal Abu-Salih & Pornpit Wongthongtham & Dengya Zhu & Kit Yan Chan & Amit Rudra, 2021. "Social Big Data: An Overview and Applications," Springer Books, in: Social Big Data Analytics, chapter 0, pages 1-14, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-6652-7_1
    DOI: 10.1007/978-981-33-6652-7_1
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    Cited by:

    1. Diletta Goglia & Laura Pollacci & Alina Sîrbu, 2023. "Dataset of Multi-Aspect Integrated Migration Indicators," Data, MDPI, vol. 8(9), pages 1-31, August.

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