When it comes to complex machine communication networks the worldwide web is the largest on earth. Tens of billions of pages are intricately connected and cross-connected through URL hyperlinks that reach out to large and small data sets across the globe.
This intricate web of connections forms a haze of links representing important economic, social, and institutional relationships. This complex network is simplified into two layers. The first layer is Web 1.0 which is made up of predominately static data creating a primary web presence. The second layer is Web 2.0 and embraces the dynamic, more changeable elements of web connectivity like blog sites.
These two web layers mostly link institutions and organizations. In addition to these two layers there is the layer of social media that links people to people. Although these elements have been separated out and identified for organizational purposes, the truth is that the relationship between social media and the institutional constructs is becoming more and more blurred.
Human nature forms the underlying fabric of this worldwide machine communication network, and it is human nature that ultimately drives the desire to buy, to connect, to act, to join, to click that link, to stay on a site, or to leave it.
In order to achieve this intricate level of connectedness, a mathematically based linking system, the internet, is overlaid on a bio-diverse system of human relationships.
Collecting and analyzing the data that underlies networks, in combination with the analysis and understanding of the bio-diverse human condition, can lead to a better understanding how this bio-machine network functions, and more importantly what the key nodes and drivers are.