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Networks
- Random Graph – Generates a graph with a fixed number of nodes connected randomly by undirected edges.
- Watts-Strogatz Small World – Generates a graph whose majority of nodes are not directly connected to one another, but are still connected to one another via relatively few edges.
- Barabási-Albert Scale-Free – Generates a scale-free network by incorporating growth and preferential attachment.
------------------------------------- - TARL (Topics, Aging and Recursive Linking) – Incorporates "aging" to generate bipartite coevolving networks of authors and papers. Can also be applied to other datasets with different aging distribution.
R
- Create an R Instance - This algorithm creates an R instance that is usable from the CIShell environment.
- Run Rgui - This algorithm opens the RGui for an already created R instance.
- Send a Table to R - This algorithm imports a CSV into a running R instance.
- Get a Table from R - This algorithm exports a CSV from a running R instance back onto the Data Manager.
Visualization
General
- GnuPlot – Used to plot two-dimensional functions and data points in many different formats. For full documentation of this open-source software, please visit http://www.gnuplot.info/documentation.html
Temporal
- Temporal Bar Graph
- Horizontal Bar Graph
- Horizontal Bar Graph (not included version) – Uses csv (tabular) datasets (including NSF grant data and the output of burst detections) to visualize numeric data over time, generating labeled horizontal bars that correspond to records in the original dataset.
Geospatial
- Proportional Symbol Map – Maps geospatial coordinates as circles that can be size- and color-coded in proportion to associated numeric data.. Result is a PostScript file.
- Choropleth Map – Color-codes named regions on a geographical map in proportion to associated numeric data. Result is a PostScript file.
- Geospatial Network Layout with Base Map – Allows for the geospatial visualization of network data, by producing a network file and corresponding blank map.
Topical
Map of Science via Journals - The Map of Science is a visual representation of a network of 554 subdisciplines of science (grouped into 13 overarching disciplines) and their relationships to one another.
- Map of Science via 554 - This visualization works exactly like Map of Science via Journals except instead of taking a collection of journal names as input and mapping them to the 554 fields it directly takes IDs of the 554 fields, which are integers from 1 to 554.
Networks
- GUESS – Interactive data analysis and visualization tool.
- Gephi - Interactive data analysis and visualization tool at http://gephi.org.
--------------------------------------------- - Radial Tree/Graph (prefuse alpha) – A single node is placed at the center and all others are laid around it in a tree structure.
- Radial Tree/Graph with Annotation (prefuse beta) – A single node is placed at the center and all others are laid around it in a tree structure, with labels.
- Tree View (prefuse beta) – Visualizes directory hierarchies in a tree structure. Warning: Does not work on Macs.
- Tree Map (prefuse beta) – Visualizes hierarchies using the Treemap algorithm. Warning: Does not work on Macs.
- Force Directed with Annotation (prefuse beta) – Sorts randomly placed nodes into a more aesthetically pleasing visual layout.
- Fruchterman-Reingold with Annotation (prefuse beta) – Visualization which lays out nodes based on some force between them.
--------------------------------------------- - DrL (VxOrd) – A force-directed graph layout toolbox focused on real-world large-scale graphs.
- Specified (prefuse beta) – Visualization tool for use with graphs having pre-specified node coordinates.
--------------------------------------------- - Circular Hierarchy – Generates a circular visualization of the output produced by a multi-level aggregation method such as Blondel Community Detection. Result is a Postscript file.
- Bipartite Network Graph - Generates a bipartite network visualization of the output produced by Extract Bipartite Network algorithm.