Child pages
  • 5.1.3 Funding Profiles of Three Researchers at Indiana University (NSF Data)
Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 3 Next »

GeoffreyFox.nsf BethPlale.nsf MichaelMcRobbie.nsf

 

Time frame:

1978-2010

Region(s):

Indiana University

Topical Area(s):

Informatics, Miscellaneous

Analysis Type(s):

Co-PI Network, Grant Award Summary

It is often useful to compare the profiles of multiple researchers within similar disciplinary or institutional domains. To demonstrate this comparison, load the NSF funding profiles of three Indiana University researchers into the Sci2 Tool using 'File > Load' from 'yoursci2directory/sampledata/scientometrics/nsf'. Once 'GeoffreyFox.nsf', 'MichaelMcRobbie.nsf', and 'BethPlale.nsf' are loaded in NSF csv format, run 'Visualization > Temporal > Horizontal Bar Graph', using the recommended parameters for each.

For instructions on how to save and view the PostScript file generated by the "Horizontal Bar Graph" algorithm, see section 

+[

2.4 Saving Visualizations for Publication|SCI2TUTORIAL:2.4 Saving Visualizations for Publication]+.

Select 'GeoffreyFox.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:

Figure 5.5: Funding profile over time of Geoffrey Fox 

Now select 'BethPlale.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:


Figure 5.6: Funding profile over time of Beth Plale 
Finally, select 'MichaelMcRobbie.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:


Figure 5.7: Funding profile over time of Michael McRobbie
The horizontal bar graph visualizations in Figures 5.5, 5.6, and 5.7 make it easy to see the timespan of different researchers, as well as the types and volume of grants they generally receive (e.g., many small grants or a handful of large ones). From here, it may be useful to compare their Co-PI networks and look more closely at award totals. Select each dataset in the Data Manager window and run 'Data Preparation > Text Files > Extract Co-Occurrence Network' using these parameters (note that the Aggregation Function File is located in 'yoursci2directory/sampledata/scientometrics/properties/' folder:

Run 'Visualization > Networks > GUESS' on each generated network to visualize the resulting Co-PI relationships. Select 'GEM' from the layout menu to organize the nodes and edges.

To color and size the nodes and edges using the default Co-PI visualization theme, run 'yoursci2directory/scripts/GUESS/co-PI-nw.py' from 'Script > Run Script ...'.


Figure 5.8: Co-PI network of Geoffrey Fox in Indiana University

Figure 5.9: Co-PI network of Beth Plale in Indiana University


Figure 5.10: Co-PI network of Michael McRobbie in Indiana University 

  • No labels