The next step is to create different symbols and associate those symbols with vales to convey more information about your visualization. Think about the legend on maps, these help readers decipher what they are looking at and determine distance. Similarly, the legends we will create for this visualization will help readers find which authors have published families are the most and collaborated more often in this particular data setinfluential in this dataset, based on wealth, priorates, and number of connections with other families.
In order to determine the values for our symbols we will need to refer back to the original visualization. In GUESS you can use the information window to view these values. Simply hover your mouse over the node or edge you wish to examine and view its properties in the information window:
To find the values for attributes of nodes and edges in Gephi, view the graph in the Overview window of Gephi. Then use thetool and label the edges and the nodes:
Once you have chosen which attribute to label the nodes or edges with they can be applied by clicking the label tool:. It is a good idea to label nodes and edges separately. In other words, apply the node labels and then remove them before you apply the edge labels. Otherwise, the graph will be too crowed with node and edge labels to identify values to use in your legend. Typically, it can be difficult to identify edge attribute values because there are so many edges to be labeled that it can become crowded very quickly. One trick when dealing with a lot of attribute labels is to use the Gephi filters to filter either nodes or edges by certain attributes. To pull up the filter window in Gephi go to "Window > Filters" at the top of the tool:
The filter window will appear at the right-hand side of the tool. You can choose to filter edges by the edge weight (number of co-authored papers) attribute by dragging the edge weight filter into the queries section below:
Use the slide bar at the very bottom of the window to filter the edges. Drag the bar and then click filter: