Social Network Visualizer 2.0
Social Network Visualization and Analysis Software
SocNetV has a simple Graphical User Interface (GUI) composed of:
At the top of the window, there is the menu bar, filled with commands and options, organized in 6 menus:
Below the menu, the toolbar provides the usual icons: new network creation, load a network, save, zoom in-out, rotate, switch between relations (or add a new one) and display help messages for the menu options.
The middle part of the window is occupied by the dock/toolbar (left-side) and a virtual "canvas" (right-side) where network nodes and edges appear.
The toolbox, on the left of the window, has two tabs: Controls and Statistics.
At the top of the Controls tab there are 4 buttons to edit the network (add/remove node, add/remove edge).
Below them, there are two groups of options to Analyze and Visualize the loaded network.
In the Analyze group, options are categorized in four submenus:
When you select an option, SocNetV computes what you asked and displays the report in a new window.
In the Visualize group, there are menus and checkboxes to apply visualization layouts to the current network.
With one click, SocNetV can visualize the network in intuitive ways:
Finally, at the end of the toolbox there are options to toggle node sizes according to their inDegree/outDegree and enable/disable layout guidelines.
The Statistics tab is mainly occupied by informative LCDs.
These display statistics for the active network (i.e. node and edges counters, density, counters of inLinked/outLinked nodes, etc) as well as the selected node (its number, in-Links and out-Links).
The canvas is the main area of interaction. You can:
The initial background color is set to "white", but you can changed it from the Edit -> Colors menu.
Below, we describe how to work with SocNetV.
To start working with SocNetV you need network data, i.e. a graph of nodes (vertices) and links (edges).
SocNetV enables you to create networks by point and clicking on the canvas or load them from files.
There are multiple ways to create or edit nodes and links in SocNetV:
To create a new node, you can double-click on the canvas or click on the "Add node" button.
You can move a node by left-clicking on it and dragging it with mouse.
Right-click on a node to display a context menu with options to delete it, add edge, change node properties (see below). To change the color, size or label of a node, right-click on it and in the context menu select Node Properties.
All nodes by default are tagged by their node number. If you want to display the labels as well, enable the option in the menu Options -> Node -> Display Labels.
When you right-click on a node, a context menu appears. From there you can remove the node, add an edge or select Node Properties to change its color, label, size, shape, etc. A similar menu appears when you right click on an edge.
From the Node Properties dialog, you can enter a node label, change the node size (and "value" in future versions), edit the node color and select a proper node shape. SocNetV supports many kinds of node shapes, i.e rectangles, diamond, ellipse, circle, etc. Click OK and all your changes will be done in one step. For instance clicking on the red color button will bring up a nice Colors dialog where you can select every possible color.
Group select If you want to select more than one node, press and hold down the left mouse button on the canvas. By moving your mouse, a rectangle will be drawed. All nodes inside this rectangle will be selected the moment you release the mouse button. You can also edit multiple selected nodes at once. Left-click on the canvas and drag to make a selection area. Then right click on one of the selected nodes to open the Node Properties dialog for all of them. Any change you make will be applied to all selected nodes.
To create a new directed edge, middle-click on the source node and then middle-click again on the target node. By default, all new links created this way have weight 1.
If your mouse doesn't have middle button (did you try pressing the mouse wheel?), or you find it difficult, you can right-click on the source node, then select "Create Edge".
In the dialog, just enter the target node number and the desired edg weight. Alternatively, you can click on the "Add edge" button from the dock. In that case, you will be asked for both the source and the target node numbers (and the edge weight).
Edge Creation Example:
Say you created two nodes, numbered 1 and 2, on the canvas. To create a new directed edge from node 1 to node 2, middle click on node 1 (the mouse pointer will become a hand) and afterwards middle-click on node 2. A new line will be drawn instantly. If you want an undirected edge (edge) repeat the process from node 2 to node 1.
Remember, each edge you create this way has the default weight 1 and black colour.
Right-click on an edge to display a context menu with options to delete it, change weight, color etc.
The first time you create an edge in your network, the application asks you to enter a name (or label) for the new relation between actors/nodes.
A relation is a collection of ties of a specific kind between the network actors.
For instance, you might want to label a relation "friendship" if the edges between nodes refer to the set of friendships between pairs of actors.
Starting from version 1.3, SocNetV supports multirelational networks, that is networks with ties of different kind between actors.
You can add more relations to your network by pressing the + button in the toolbar.
You can switch between relations by clicking the previous and next arrow buttons in the toolbar.
The easiest way to start working with SocNetV is when you have already network data saved in a supported format (see Supported Formats [Formats].
For instance, you might have another program (for example a simulation) creating adjacency networks which you want to visualise. In that case, from the SocNetV's menu go to File > Load. In the dialogue that will appear, navigate to the desired folder and select the appropriate network file.
Once you select a file, SocNetV will first display it in a File Previewer window. This allows you to select -if you need to- a specific codepage for that file. You might need this feature due to the different codepages used by the Windows, Linux and Mac operating systems. For example, say you use SocNetV in Mac OS X and you want to open a Windows network file containing non-Latin characters (such as é or some curillic "кЧДЛХКЮ"). To properly open that file you need to select its original codepage, i.e. KOI8-R. That's what File Previewer allows you to do.
Of course, if the file has been created in the same OS as yours or by SocNetV you do not need to select another codepage, just press OK to load the network in the canvas.
To save the active network, just press Ctrl+S or click on the menu entry File > Save. By default, it will be saved in GraphML format.
If you like, you can export it to another supported format (menu Network > Export To). Note that some Supported Formats [Formats] are supported only for loading - not for saving.
The adjacency matrix of a network is a matrix where each element a(i,j) is equal to the weight of the edge from node i to node j. If the nodes are not connected, then a(i,j)=0.
To view the adjacency matrix of a network, press F6.
By default, SocNetV displays the adjacency matrix as integer-valued only (although we do allow float weights).
SocNetV can recreate known data sets. Network Generator [Read more].
SocNetV can create a random network for you. Network Generator [Read more].
SocNetV includes a simple web crawler. Network Generator [Read more].
To print the network directly to your printer, press Ctrl+P.
Keep in mind, that SocNetV follows the "what you see is what you print" principle: we print what is viewable in the canvas, i.e. if you zoom-in to a network, the application will only print that specific network portion. So, you might need to zoom-out enough so that the whole network is viewable and therefore printable.
Except printing, you can export your work into raster (BMP and PNG) images, as well as PDF documents. The latter are vector-based, and therefore offer the best quality. Again, keep in mind the rule "what you see is what you print".