ABSTRACT
We present NodeXL, an extendible toolkit for network overview, discovery and exploration implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. We demonstrate NodeXL data analysis and visualization features with a social media data sample drawn from an enterprise intranet social network. A sequence of NodeXL operations from data import to computation of network statistics and refinement of network visualization through sorting, filtering, and clustering functions is described. These operations reveal sociologically relevant differences in the patterns of interconnection among employee participants in the social media space. The tool and method can be broadly applied.
- Adamic, L.A., Zhang, J., Bakshy, E., and Ackerman, M. (2008). Knowledge sharing and Yahoo Answers: Everyone knows something, Proc. World Wide Web Conference, WWW2008.org. Google ScholarDigital Library
- Adar, E. (2006). GUESS: A Language and Interface for Graph Exploration, Proc. ACM Conference on Human Factors in Computing Systems. Google ScholarDigital Library
- Aris, A. and Shneiderman, B., Designing semantic substrates for visual network exploration, Information Visualization Journal 6, 4 (2007), 1--20. Google ScholarDigital Library
- Batagelj, A. M. V (1998). Pajek -- program for large network analysis. Connections, 21(2):47--57.Google Scholar
- Borgatti, S., Everett, M. G., and Freeman, L. C. (2006). UCINET 6, Analytic Technologies.Google Scholar
- de Nooy, W., Mrvar, A. and Batageli, V. (2005). Exploratory Social Network Analysis with Pajek. Cambridge University Press, Cambridge, UK. Google ScholarDigital Library
- Dunne, C. and Shneiderman, B. (2009). Improving graph drawing readability by incorporating quality metrics: A software tool for community analysts, Univ. of Maryland Technical Report (submitted for review).Google Scholar
- Dwyer, T., Koren, Y., and Marriott, K. (2006): IPSep-CoLa: An incremental procedure for separation constraint layout of graphs, IEEE Trans. Visualization and Computer Graphics 12(5): 821--828. Google ScholarDigital Library
- Freeman, L. C. (2004). Graphic Techniques for Exploring Social Network Data, in Models and Methods in Social Network Analysis, P. J. Carrington, J. Scott and S. Wasserman, eds., Cambridge Univ Press, Cambridge, UK.Google Scholar
- Fruchterman, T. M. J.,&Reingold, E. M. (1991). Graph Drawing by Force-Directed Placement, Software: Practice and Experience, 21(11). Google ScholarDigital Library
- Heer, J. and boyd, d. (2005). Vizster: Visualizing online social networks, IEEE Symposium on Information Visualization. Google ScholarDigital Library
- Heer, J., Card, S. K., and Landay, J. (2005). A. prefuse: A toolkit for interactive information visualization, Proc. ACM Conference on Human Factors in Computing Systems. Google ScholarDigital Library
- Lee, B., Plaisant, C., Parr, C., Fekete, J.-D., and Henry, N. (2006) Task Taxonomy for Graph Visualization Proc. ACM BELIV '06, .81--85. Google ScholarDigital Library
- Lee, B., C. S. Parr, C. Plaisant, B. B. Bederson, V. D. Veksler, W., D. Gray and C. Kotfila (2006), TreePlus: Interactive exploration of networks with enhanced tree layouts, IEEE Trans. Visualization and Computer Graphics 12 (6): 1414--1426. Google ScholarDigital Library
- O'Madadhain, J., Fisher, D., Smyth, P., White, S., and Boey, Y.-B. (2005). Analysis and Visualization of Network Data using JUNG, Journal of Statistical Software, VV, 2005.Google Scholar
- Perer, A. and Shneiderman, B. (2006). Balancing systematic and flexible exploration of social networks, IEEE Symp. on Information Visualization and IEEE Trans. Visualization and Computer Graphics 12, 5 (October), 693--700. Google ScholarDigital Library
- Perer, A. and Shneiderman, B. (2008). Systematic yet flexible discovery: guiding domain experts through exploratory data analysis, Proc. 13th Int'l Conf. on Intelligent User Interfaces, 109--118, New York, NY, USA,. ACM. Google ScholarDigital Library
- Perer, A. and Shneiderman, B. (2008). Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis. In CHI '08: Proc. SIGCHI Conference on Human Factors in Computing Systems, pages 265--274, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- Shneiderman, B. (2008). Treemaps for Space-Constrained Visualization of Hierarchies. Retrieved December 29, 2008 from: http://www.cs.umd.edu/hcil/treemap-history.Google Scholar
- Shneiderman, B. and Aris, A. (2006). Network visualization with semantic substrates, IEEE Symposium on Information Visualization and IEEE Trans .Visualization and Computer Graphics 12 (5): 733--740. Google ScholarDigital Library
- Viegas, F. B. and Wattenberg, M. (2006). Communication-minded visualization: A call to action. IBM Systems Journal, 45 (4):801--812. Google ScholarDigital Library
- Welser, Howard T., Eric Gleave, Danyel Fisher, and Marc Smith (2007). Visualizing the signatures of social roles in online discussion groups, The Journal of Social Structure. 8(2). http://www.cmu.edu/joss/content/articles/volume8/Welser/Google Scholar
Index Terms
- Analyzing (social media) networks with NodeXL
Recommendations
Investigating Homophily in Online Social Networks
WI-IAT '10: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. %Several studies have observed this phenomena by conducting surveys on human subjects. These studies have concluded that new ties are ...
Analyzing Enterprise Social Media Networks
CSE '09: Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04Broadening adoption of social media applications within the enterprise offers a new and valuable data source for insight into the social structure of organizations. Social media applications generate networks when employees use features to create "...
Comments