Jump to navigation Jump to search
This page provides an index to trails that illustrate common and advanced usage scenarios of the visone software.
- Installing visone tells you where you can download visone and how you install and run the program.
These basic trails lead you step by step through a sequence of tasks illustrating common usage of visone.
- Introducing the visual network editor tells you how networks are created and modified by use of the mouse. You will also learn about the different types of information that are encoded in a visone network and how networks can be exported to data and image files.
- Visualizing and analyzing networks shows you how analysis and visualization goes hand in hand in visone. It introduces you to the most common usage scenario: importing data from one or several files, analyzing the network, visualizing the network together with the computed indicators, exporting data and images for further processing or publication.
- Advanced attribute management introduces you to the full power of visone's attribute manager and shows you how to select elements dependent on attribute values. The attribute manager allows you, for instance, to convert tie strength to distance or rankings and vice versa, dichotomize networks, rescale tie weights and much more.
- Network collections and dynamic networks. A network collection is a set or sequence of several networks that belong together, e.g., by building a longitudinal network. This trail guides you through several application examples for network collections, including dynamic visualization as well as statistical modeling of network dynamics with the RSiena software.
- R is a widely used software tool for statistical computation and graphics. An R console can be opened from within visone, with full access to the R programming environment and the ability to exchange network data back and forth. This extends visone's capabilities tremendously, providing access to a huge set of methods for statistical analysis and modeling.
- Siena is a software tool for stochastic actor-oriented modeling (SAOM) of network panel data. The recent R-based version RSiena can be accessed transparently using visone menus, and there are dedicated graphical methods to explore parameters interactively.
- KNIME is a comprehensive data mining workflow tool. KNIME and visone can exchange network data back and forth at runtime.