Data Networks found in nature, culture and technology are dynamic in multiple ways. This poses several challenges to the field of networks visualisation that, in general, has been representing networks with fixed layouts. By depicting networks statically, not only the dynamic properties are lost, it's also difficult to read basic properties such as the number of connections between nodes. I propose a series of interactive techniques to visualise networks, aimed at revealing their dynamic and organic nature.
Interesting networks are dynamic in at least some of the following ways:
A static visualisation of a network hardly conveys information about temporal information: how the network has been created, how the information flows through the network, which nodes or relations were active in different moments, etc…
My talk features several techniques that visualise the dynamic properties of networks, using animation and interaction to give multiple views according to different questions. This creates a topological network space, revealing more about the structure of the network rather than a geometrical one, and fixing nodes and relations in artificial positions.