Duncan J. Watts: Newtork Persistence


Nothing in the world can take the place of Persistence.
Talent will not; nothing is more common than unsuccessful men with talent.
Genius will not; unrewarded genius is almost a proverb.
Education will not; the world is full of educated derelicts.
Persistence and determination alone are omnipotent.
The slogan ‘Press On’ has solved and always will solve the problems of the human race.
–Calvin Coolidge

I have just finished reading Duncan J. Watts Six Degrees: The Science of a Connected Age and I have come away with several revelations.  The first is that Goal nodes, Contact nodes, Product nodes, Service nodes, Location nodes, Event nodes and Measure nodes all have a unique datatype and together create a State.  However, network theory is not at this point yet and thinks the combined nodes creating a state are the Contact nodes.  Second, power curves, phase changes and singularities exist in all networks as well as Lorentz transformations.  Third events (Time) and points (Space) are the foundation of success more than anything, if you have a moral code, leadership, training and discipline, but do not have persistent timing and location, you are not likely to encounter the network state you need to succeed.  As Duncan puts it, it is like a tree spreading seeds, only a few will land on the right ground at the right time.  As Woody Allen put it, “Show up.”


Systema: Six Interrogatives and Four Associations


Since I have been thinking about the dimensionality of Einstein’s universe and the associations within the six interrogatives, it has led me to wonder about how the two fit together.  I have expressed it in the above diagram.  The association types are the rows and the interrogatives the columns.  We immediately have four dimensions for each interrogative.  Food for thought as I think about my current reading on network theory.

This hearkens back to a model I did in June 2007:


You can see by using an association table for each interrogative this model provides for all the possible associations within the ontology.  However, I do not think this model is complete.  I’ll discuss that a bit later.