> For the complete documentation index, see [llms.txt](https://measures.gitbook.io/multiple-measures/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://measures.gitbook.io/multiple-measures/master.md).

# About

* Created: Liwenhan Xie, Jul-2 2019.
* Supervisor: Benjamin Bach, University of Edinburgh
* Online: <https://shellywhen.github.io/measure-flow>

## Motivation

It remains challenging to understand how dynamic network evolutes through time, where typical insights include stable states, seasonal states, exceptional states, and transitions between the states. In the past centuries, many metrics are proposed to quantitatively measure the structural feature of a static graph and successfully help human interpretation of the graph. As a consequent idea, we are hoping to improve the interpretability of a dynamic graph with an accompany visualization of various measures. And a further exploration is to find out how to generate a more insightful measure on dynamic networks, which may induce a prompt discovery of events.

## Contribution&#x20;

* A new approach to explore the evolution of dynamic graph with various metrics.