Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods - Introduction to Big Data for Social Science Research

Name: Introduction to Big Data for Social Science Research
Uploaded: 2019-03-26
Duration: 29 min 44 s
Description: Mihály Fazekas, PhD, Assistant Professor at the School of Public Policy, Central European University, discusses using big data for social science research including, new data sources and what they can help achieve, the difference between big data and traditional research methodology, and the collection and analysis of big data.

Transcript

Chapters

Watching now: Chapter 1: What is Big Data?
Start time: 00:00:00 End time: 00:04:10
Chapter 2: What New Data Sources are There and What can They Help You Achieve?
Start time: 00:04:11 End time: 00:08:07
Chapter 3: How does Big Data Methodology Compare With Traditional Research Methodology?
Start time: 00:08:08 End time: 00:16:52
Chapter 4: How can Big Data be Collected?
Start time: 00:16:53 End time: 00:18:49
Chapter 5: How can Big Data be Analyzed?
Start time: 00:18:50 End time: 00:27:58
Chapter 6: Conclusion
Start time: 00:27:59 End time: 00:29:44

Video Type: Tutorial

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  Fazekas, M. (Academic). (2019). Introduction to big data for social science research [Video]. Sage Research Methods. https://doi.org/10.4135/9781526499752
  
  Fazekas, Mihaly. "Introduction to Big Data for Social Science Research." In Sage Video. London: SAGE Publications Ltd, 2019. Video, 00:29:44. https://doi.org/10.4135/9781526499752.
  
  Fazekas, M., 2019. Introduction to Big Data for Social Science Research, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781526499752 & gt; [Accessed 8 Jun 2023].
  
  Fazekas, Mihaly. Introduction to Big Data for Social Science Research. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 26 Mar 2019. doi: https://doi.org/10.4135/9781526499752. 8 Jun 2023.
  
  Introduction to Big Data for Social Science Research [Streaming video]. 2019. doi:10.4135/9781526499752. Accessed 06/08/2023
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Summary
Chapters
Video Info

Summary

Mihály Fazekas, PhD, Assistant Professor at the School of Public Policy, Central European University, discusses using big data for social science research including, new data sources and what they can help achieve, the difference between big data and traditional research methodology, and the collection and analysis of big data.

Chapter 1: What is Big Data?
icon angle down
- Start time: 00:00:00
- End time: 00:04:10
Chapter 2: What New Data Sources are There and What can They Help You Achieve?
icon angle down
- Start time: 00:04:11
- End time: 00:08:07
Chapter 3: How does Big Data Methodology Compare With Traditional Research Methodology?
icon angle down
- Start time: 00:08:08
- End time: 00:16:52
Chapter 4: How can Big Data be Collected?
icon angle down
- Start time: 00:16:53
- End time: 00:18:49
Chapter 5: How can Big Data be Analyzed?
icon angle down
- Start time: 00:18:50
- End time: 00:27:58
Chapter 6: Conclusion
icon angle down
- Start time: 00:27:59
- End time: 00:29:44

Product: Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods
Type of Content: Tutorial
Title: Introduction to Big Data for Social Science Research
Publisher: SAGE Publications Ltd
- Publication year: 2019
- Online pub date: March 26, 2019
Discipline: Sociology
Methods: Computational social science, Big data
Duration: 00:29:44
DOI: https://doi.org/10.4135/9781526499752
Keywords: administrative data, algorithms, cluster detection, clusters, data analysis, data collection, data collection systems, data mining, data sources: empirical data, data structures, databases, databases as topic, Facebook, geographic location, measurement, Monte Carlo methods, neural networks, open-ended study, ordinary least squares regression, prediction (methodology), programming and scripting languages, regression, Sampling error, Search engines, Social data, Social media, Social science research, Statistical methods and models, Supervised classification, Survey data analysis, Survey methods, Survey research, Twitter, unsupervised classification, validity and reliability
People
Academic: Mihaly Fazekas

Online ISBN: 9781526499752

Copyright: (c) SAGE Publications Ltd., 2019

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  Fazekas, M. (Academic). (2019). Introduction to big data for social science research [Video]. Sage Research Methods. https://doi.org/10.4135/9781526499752
  
  Fazekas, Mihaly. "Introduction to Big Data for Social Science Research." In Sage Video. London: SAGE Publications Ltd, 2019. Video, 00:29:44. https://doi.org/10.4135/9781526499752.
  
  Fazekas, M., 2019. Introduction to Big Data for Social Science Research, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781526499752 & gt; [Accessed 8 Jun 2023].
  
  Fazekas, Mihaly. Introduction to Big Data for Social Science Research. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 26 Mar 2019. doi: https://doi.org/10.4135/9781526499752. 8 Jun 2023.
  
  Introduction to Big Data for Social Science Research [Streaming video]. 2019. doi:10.4135/9781526499752. Accessed 06/08/2023
  copy to clipboard
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  Export to your reference manager Endnote
  
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Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Chapter 1: What is Big Data?

Chapter 2: What New Data Sources are There and What can They Help You Achieve?

Chapter 3: How does Big Data Methodology Compare With Traditional Research Methodology?

Chapter 4: How can Big Data be Collected?

Chapter 5: How can Big Data be Analyzed?

Chapter 6: Conclusion

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Introduction to Big Data for Social Science Research

Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Chapter 1: What is Big Data?

Chapter 2: What New Data Sources are There and What can They Help You Achieve?

Chapter 3: How does Big Data Methodology Compare With Traditional Research Methodology?

Chapter 4: How can Big Data be Collected?

Chapter 5: How can Big Data be Analyzed?

Chapter 6: Conclusion

Discover method in the Methods Map

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