Sci2 Manual : 5.1.3 Funding Profiles of Three Researchers at Indiana University (NSF Data)
This page last changed on Mar 23, 2011 by dapolley.
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' and following this path: '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. 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:
Finally, select 'MichaelMcRobbie.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:
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 > 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 5.9: Co-PI network of Beth Plale in Indiana University
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Document generated by Confluence on May 31, 2011 15:16 |