Networks

Networking can be seen as collective patterns, a form of organised events choreographed in a certain way. This idea can be supported with physical evidence taken from the animal Kingdom.
here are some examples...

Birds:

To see a video of this example, click here

Even in the way that we organise ourselves when we move in a group or crowd, how we position ourselves before we are comfortable with where we chose to settle in such an environment can be determined by different factors.
For instance, If in a class room a large number of people were to walk in and be asked to take a seat, which one would they chose, thinking about its location and how the surrounding environment may be responsible for you making that decision. Such as whether or not you are able to see the front clearly, whether you are uncomfortable with people sitting behind you, wanting a seat near a window...maybe its just where your ended up and were forced to stop there. Possibly the fact that you don't care and it was convenient to just sit anywhere. These points can be seen and should be considered.


Linked:
Albert Laszlo Barabasi was a Hungarian scientist , specifically network science and wrote a book called linked. This book is all about networks, on the cover it reads, "How everything is connected to everything else and what it means for business, science and everyday life."
In 1999 he introduced the concept of scale-free networks and proposed the Barabasi Albert Model. This was to explain their widespread emergence in natural, technological and social systems, from the cellular telephone to the World Wide Web or online communities.
From: Albert Lazlo Barabasi - Wikipedia

Albert Laszlo Barabasi:

Barabasi Albert Model:
These 3 diagrams show how the connection of nodes can represent different connections in networks and how strong they function. A method of showing how well they work in networking should 1 node be broken.
The centralised diagram (a) shows a very weak structure, should the middle node be cut, then all corresponding nodes would cease to exist.
The decentralised diagram (b) shows a stronger network of nodes, but far from very strong as should a node coming from the middle be broken, then the following branches from that node would be lost as well.
The third diagram (c) is a distributed example. This is by far the strongest, and much more solid structure in the form of a mesh. Should any one of the nodes break, then they are all still connected via other surrounding nodes, being much more reliable.

Power law:
This is a speacial kind of mathematical relationship between two qualities. It is an active area in scientific research and are present in both natural and man made worlds. Power laws can also describe other relationships such as metabolic rate of a species and their body mass, called the Kleiber law.
This is an example of a power law graph demonstrating ranking of popularity. To the right is the long tail, to the left are the few that dominate (also known as the 80-20 rule).


For more information, click here


Flight path Networks:
I noticed this type of networking on my travels when was shown by a travel agent the flight paths that Quantus airline make when transporting passengers all over the world. The travel agent showed me this route worldwide map to help me decide where I could fly from and to and in what order would make most sense economically with time and money. The network showed the possible connections between airports worldwide.

Animated Network:
To see how these flight paths work, click here and you can select which route you wish to see.

Internet network:
The internet is a global network which allows almost any computer to connect and exchange information any where worldwide.

This was how Albert Laszlo Barabasi visually saw global internet networking: