When the scheduler indicates that the 'Load' operation is complete, the .isi file will appear in the data manager, preceded by a database icon. The converter graph and directory reader produces a sample graph based on filetypes supported by the Sci2 Tool and a sample tree based on any directory structure on the hard drive, respectively.
184.108.40.206 Data Preparation
After loading a file, use options in the 'Data Preparation' menu to clean the data and create networks or tables which can be used in the preprocessing, analysis, and visualization steps. The 'Data Preparation > Database' menu is specifically for ISI or NSF data previously loaded into a database. Options in 'Data Preparation > Text Files' are for any table-based datasets (like csv files) and are used to extract networks. Find detailed information on each menu item in section 3.1 Sci2 Tool Plugins.
Figure 2.7: Data Preparation options
Use preprocessing algorithms to prune or append networks or tables before analyzing and visualizing them. The menu is separated by domain, and most simple tasks require staying within the same domain. For example, to visualize a co-authorship network, only use algorithms within the 'Networks' domain under 'Preprocessing', 'Analysis', and 'Visualization'. Similarly, a geographic map requires only 'Geospatial' algorithms. Find detailed information on each menu item in section 3.1 Sci2 Tool Plugins.
Figure 2.8: Preprocessing options
Once data is loaded, prepared, and processed with whatever features needed, analysis is possible in each of the four domains: temporal, geospatial, topical, or network.
Analysis results can be used on their own or in conjunction with visualizations to gain insight into a dataset. The Sci2 Tool features predominantly network analysis algorithms, however the tool also supports geocoding of table data and burst analysis for topical or temporal studies. Find detailed information on each menu item in section 3.1 Sci2 Tool Plugins.
The Sci2 Tool supports the creation of new networks via pre-defined models. Learn more about modeling in section 4.10 Modeling (Why?).
Figure 2.10: Modeling options
Once all previous data steps are complete, the Sci2 Tool can visualize the results. The most popular choice for visualizing networks is the GUESS toolkit, or DrL for much larger scale networks. Geocoded data can be represented on a map of the world or the United States, and temporal or topical data can be viewed using the horizontal bar graph. Find detailed information on each menu item in section 3.1 Sci2 Tool Plugins.
Figure 2.11: Visualization options
The 'Help' menu leads to online documentation, advanced tool configuration, and detailed development information.