Skip to main content

Big Data and Social Media Analytics- A Challenging Approach in Processing of Big Data

  • Conference paper
  • First Online:
ICCCE 2020

Abstract

As the world is moving towards the new technologies, the enormous amount of growth in population constructing usage of social media in their everyday life, the social media statistics are scattered in various disciplines. The footprints of social media data analytics system growth into four different steps, data analysis, data formation, data discovery and data collection. The main objective of this article is to analyze the status and evaluation of social networks on big data. The challenges and difficulties faced during distinct data analysis methods, the distinct stages of research’s data discovery, collection and preparation hardly exist. The challenge not only to conquer big data although in scrutiny and providing valuable data, which can be used for decision-making. In this article, we review the major challenges faced by researchers to process social media data. The outcomes are frequently used to enlarge an existing framework on social media. This article represents a comprehensive argue of the different studies linked with big data in social media.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tan W, Brian Blake M, Saleh I, Dustdar S (2013) IEEE Computer Society 13:1089–7801

    Google Scholar 

  2. The Data Deluge (2010) Businesses, Governments, and Society Are Only Starting to Tap Its Vast Potential, The Economist

    Google Scholar 

  3. Mislove A et al (2007) Proceedings 7th ACM SIGCOMM conference internet measurement. ACM, pp 29–42

    Google Scholar 

  4. Müller O, Junglas I, vom Brocke J, Debortol S (2017) Eur J Inf Syst 25(4): 289–302 (2017)

    Google Scholar 

  5. Al-Hajjar D, Jaafar N, Al-Jadaan M, Alnutaifi R (2015) Advances in intelligent systems and computing 312. https://doi.org/10.1007/978-3-319-10518-5_23

  6. Chaudhuri S, Dayal U, Narasayya V (2011) Comm. ACM 54(8):88–98

    Article  Google Scholar 

  7. Khan M (2018) Big data analytics evaluation. Int J Eng Res Comput Sci Eng (IJERCSE) 1(2)

    Google Scholar 

  8. Bradbury D (2013) Effective social media analytics. The Guardian. http://www.theguardian.com/technology/2013/jun/10/effective-social-media-analytics

  9. Raconteur Media (Ed) (2013) Big data. The Times [supplemental material]

    Google Scholar 

  10. Lohr S (2012) The age of big data. The New York Times. http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-theworld.html?pagewanted=all&_r=0

  11. Kalil T (2012) Big data is a big deal. http://www.whitehouse.gov/blog/2012/03/29/big-data-big-deal

  12. Gold MK (2012) Debates in the digital humanities. University of Minessota Press (2012)

    Google Scholar 

  13. Deters R, Lomotey RK (2014) Int J Bus Process Integr Manag 6:298–311

    Google Scholar 

  14. Mayer-Schönberger V, Cukier K (2013) Eamondolan/Houghton Mifflin Harcourt, New York (2013)

    Google Scholar 

  15. Robinson D (2013) Part 1. Making data meaningful

    Google Scholar 

  16. Khan M, Ansari MD (2019) Security and privacy issue of big data over the cloud computing: a comprehensive analysis. IJRTE-Scopus Indexed 7(6s):413–417

    Google Scholar 

  17. Gautam P, Ansari MD, Sharma SK (2019) Enhanced security for electronic health care information using obfuscation and RSA algorithm in cloud computing. Int J Inf Secur Priv (IJISP) 13(1):59–69

    Article  Google Scholar 

  18. Khan M, Ayyoob M (2017) Computer security in the human life. Int J Comput Sci Eng (IJCSE) 6(1):35–42

    Google Scholar 

  19. Khan M, Malviya A (2020) Big data approach for sentiment analysis of twitter data using Hadoop framework and deep learning, In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, pp 1–5. https://doi.org/10.1109/ic-ETITE47903.2020.201

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mudassir Khan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khan, M., Malviya, A., Yadav, S.K. (2021). Big Data and Social Media Analytics- A Challenging Approach in Processing of Big Data. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_59

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-7961-5_59

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7960-8

  • Online ISBN: 978-981-15-7961-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics