We're very certain that network theory is directly applicable to the Human Capital Industry, Organizational Science, The trench level of Recruiting and the organization of work. 

Here are thirty key ideas that compose the roots of network science:

1. Networks are composed of nodes and links.
2. A node is an activity or element. 
3. A link connects that node to another node.
4. Nodes can have any number of links.
5. A node without a link is not a part of the network.
6. There is probably an upward limit on the number of links but it is pretty high.
7. Some nodes have many more links than others. These are called hubs.
8. A node becomes a hub by acquiring links.
9. Generally a network has one dominant hub (although, there may be other forms of network than have been catalogued.)
10. The size of a hub is calculated by the number of links.
11. The dominant hub is four to ten times larger than any other node.
12. Often, there are two or three hubs that are one fourth to one tenth the size of the dominant hub. This is the second level of the network.
13. The next segment of hubs is again one fourth to one tenth the size of the second level of hubs.
14. A network has levels of hubs down to the level in which nodes have only one link to the network.
15. This sort of scaling, in which each level is one fourth to one tenth the size of the prior level, is called a power law. Networks operate using power laws.
16. Network communications tend to travel through hubs to smaller nodes (the path is shorter this way).
17. Hubs retain their place at the heart of the network through their fitness for the task.
18. Fitness is a variable that is dependent on the network's objectives.
19. The network itself determines fitness.
20. Hubs are not necessarily aligned in their function for the network.
21. A change in the dominant hub may suggest a change in the character of the network as a whole.
22. The point of a network is to reduce the communications time between nodes while increasing the reliability of the communication.
23. Disabling a hub in its entirety probably won't disable the network.
24. Networks are dynamic. Fitness is dynamic.
25. Networks reward novelty and innovation that improve the network.
26. Nodes 'need' hubs.
27. On some levels, the dominant hub dramatically influences the character and performance of the entire network.
28. Nodes 'need links.
29. The behavior of networks is predictable.
30. Nodes my be connected to other networks.