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  • 2.2 User Interface

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The general Sci2 Tool user interface is shown in Figure 2.3.

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Figure 2.3: Sci2 Tool Interface Components

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In the 'File' menu, the first option after clicking on 'Load' is 'Select a File':

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Figure 2.4: Using 'Load' to select a file in Sci2

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The 'Console' window documents all operations performed on the data.

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Figure 2.6: Sci2's Console and Schedule after successfully loading a database file

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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 options in the top of the menu are for any table-based datasets (like csv files) and are used to extract networks. 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 PluginsSci2 Algorithms and Tools.

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Figure 2.7: Data Preparation options

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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 PluginsSci2 Algorithms and Tools.

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Figure 2.8: Preprocessing options

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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.

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Figure 2.9: Analysis options
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.Sci2 Algorithms and Tools

2.2.1.5 Modeling

The Sci2 Tool supports the creation of new networks via pre-defined models. Learn more about modeling in section 4.10 Modeling (Why?).

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Figure 2.10: Modeling options

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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 section3.1 Sci2 Tool PluginsSci2 Algorithms and Tools.

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Figure 2.11: Visualization options

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The 'Help' menu leads to online documentation, advanced tool configuration, and detailed development information.

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Figure 2.12: Help options

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