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Charting collections of connections in social media: creating visualizations with NodeXL

Published: 04 June 2012 Publication History

Abstract

Networks are a data structure common found across all social media services that allow populations to author collections of connections. Analyzing these networks involves understanding the complex relationships between individuals, as well as any attributes, statistics, or groupings associated with them. The Social Media Research Foundation's NodeXL project makes network analysis accessible to most users of the Excel spreadsheet application. With NodeXL, network visualizations become as easy to create as pie charts. Applying the tool to a range of social media networks has already revealed the variations present in online social spaces. A NodeXL tutorial and visualizations of various networks will be presented, along with new techniques for text analysis and simplifying your network visualizations.

References

[1]
Bonsignore, E. M., Dunne, C., Rotman, D., Smith, M., Capone, T., Hansen, D. L., and Shneiderman, B. 2009. First steps to NetViz Nirvana: Evaluating social network analysis with NodeXL. In Proc. 2009 international conference on computational science and engineering. CSE '09. 332--339.
[2]
Hansen, D. L., Shneiderman, B., and Smith, M. 2011. Analyzing social media networks with NodeXL: Insights from a connected world. Ed. by James, M., and Bevans, D. Morgan Kaufmann.
[3]
Hansen, D. L., Rotman, D., Bonsignore, E. M., Milic-Frayling, N., Rodrigues, E. M., Smith, M., and Shneiderman, B. 2009. Do you know the way to SNA?: A process model for analyzing and visualizing social media data. Human Computer Interaction Lab Tech Report HCIL-2009-17. University of Maryland.
[4]
Rodrigues, E. M., Milic-Frayling, N., Smith, M., Shneiderman, B., and Hansen, D. 2011. Group-in-a-Box layout for multi-faceted analysis of communities. In Proc. 2011 IEEE 3rd International Conference on Social Computing. SocialCom '11.
[5]
Smith, M., Shneiderman, B., Milic-Frayling, N., Rodrigues, E. M., Barash, V., Dunne, C., Capone, T., Perer, A., and Gleave, E. Analyzing (social media) networks with NodeXL. 2009. In Proc. fourth international conference on Communities and Technologies. C&T '09. 255--264.

Cited By

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  • (2022)Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text MiningFrontiers in Psychology10.3389/fpsyg.2022.88639013Online publication date: 19-Apr-2022
  • (2017)Optimal tree reordering for group-in-a-box graph layoutsSIGGRAPH Asia 2017 Symposium on Visualization10.1145/3139295.3139308(1-9)Online publication date: 27-Nov-2017
  • (2016)Real-time analysis and visualization of online social media dynamics2016 2nd International Conference on Next Generation Computing Technologies (NGCT)10.1109/NGCT.2016.7877442(362-367)Online publication date: Oct-2016

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Published In

cover image ACM Other conferences
dg.o '12: Proceedings of the 13th Annual International Conference on Digital Government Research
June 2012
324 pages
ISBN:9781450314039
DOI:10.1145/2307729

Sponsors

  • Elsevier
  • iSchool: College of Information Studies, University of Maryland
  • iPAC: Information Policy and Access Center

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 June 2012

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Author Tags

  1. NodeXL
  2. network analysis
  3. network visualization

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  • Research-article

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dg.o '12
Sponsor:
  • iSchool
  • iPAC

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Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

View all
  • (2022)Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text MiningFrontiers in Psychology10.3389/fpsyg.2022.88639013Online publication date: 19-Apr-2022
  • (2017)Optimal tree reordering for group-in-a-box graph layoutsSIGGRAPH Asia 2017 Symposium on Visualization10.1145/3139295.3139308(1-9)Online publication date: 27-Nov-2017
  • (2016)Real-time analysis and visualization of online social media dynamics2016 2nd International Conference on Next Generation Computing Technologies (NGCT)10.1109/NGCT.2016.7877442(362-367)Online publication date: Oct-2016

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