At the request of the bride and
groom, I will keep my remarks short
and non-technical. As you know,
there are four fundamental forces
in physics: electromagnetism,
strong nuclear interaction, weak
nuclear interaction, and gravity.
The liquid-drop model in nuclear physics was originally proposed by George Gamow
and developed by Hans Bethe and Carl von Weizsäcker in the 1930s. It treats the
nucleus as an incompressible fluid of protons and neutrons bound together by the
strong nuclear force. It treats the nucleus as an incompressible fluid of
protons and neutrons bound together by the strong nuclear force.
Social network models interpret the
structure of human relationships:
social, economic, political. Ties
between individuals are channels
for transfer or "flow" of material
and non-material resources.
Yes, yes. You'll need an adjacency
matrix for the network data.
Adjacency matrix. Go for it.
The adjacency matrix of a graph shows how the vertices are
connected; when the entry at row i, column j is 1 in the matrix,
the vertices i and j are connected. Moving the points leaves the
adjacency matrix the same.
You know the "Six Degrees of
Separation" phenomenon? In math
it's called "The Small World
ENTER AUDIENCE VISION:
Charlie enters the immense urban sprawl of Los Angeles.
By using principles of The Small
World Problem we build an
algorithm to filter through
millions of social links -
GRAPHIC OVERLAY: graphic version of social connections of
L.A. -- an overwhelming "beehive" of communication.
--and identify individuals using
local information, like the
internet, to create paths in the
network for a specific purpose,
the transfer of your gun--
The graphic evolves as the algorithm strips away social
connections to focus on fewer people and connections until-
We turn the immense social network
of Los Angeles into the equivalent
of a small town.
--Charlie is in the simpler visual world of a small town.