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Conclusion

Published online by Cambridge University Press:  06 June 2024

James Bagrow  and
Yong‐Yeol Ahn
James Bagrow
Affiliation:
University of Vermont
Yong‐Yeol Ahn
Affiliation:
Indiana University, Bloomington
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Summary

What are the nodes? What are the links? These questions are not the start of your work—the upstream task makes sure of that—but they are an inflection point. Keep them front of mind. Your methods, the paths you take to analyze and interrogate your data, all unfold from the answers (plural!) to these questions. This chapter reflects on where we have gone, where we can go for more, and, perhaps, what the future has in store for data science, networks and network data.

Keywords

reading recommendationsnew sources of network datasingle-cell biologyconnectomicscausal inference and network datahypergraphs and higher-order networksnew norms in data scienceprivacy and ethics in data scienceopen science and open datadatasheets and network cards
Type
Chapter
Information
Working with Network Data
A Data Science Perspective
 , pp. 471 - 476
Publisher: Cambridge University Press
Print publication year: 2024

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  • Conclusion
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.033
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  • Conclusion
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.033
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Conclusion
  • James Bagrow, University of Vermont, Yong‐Yeol Ahn, Indiana University, Bloomington
  • Book: Working with Network Data
  • Online publication: 06 June 2024
  • Chapter DOI: https://doi.org/10.1017/9781009212601.033
Available formats
×