How Complexity Leads to Simplicity.
Ed Berlow in a little over 3 minutes demonstrates the use of an ordered network to discern simplicity in complex graphs.
Any number of factors that contribute to the identification of a subject.
Ordered networks to analyze those factors so we can isolate those that are:
- easiest to recognize
- have the most power of discrimination
- are recognized by the largest group of people
- …, etc., from a certain point of view.
What factors we choose will depend upon our goals and requirements.
Ordered networks may help us make those choices.
Questions:
- Future law librarians may want to look at: Looking Back: an Ordered Network Model of Legal Precedent by Stephen R. Haptonstahl
- Create an ordered graph for a subject and its context. (30-50 nodes, labeled graphs for class discussion, jpeg format.*)
- What factors would you choose to identify your subject? What are the consequences of those choices? (discussion)
*I would suggest Graphviz as graph software. You can check under resources for visual editors. You can use other software if you like.
I will walk through creation of a smallish ordered network with Graphviz.