Everything is interconnected.
Not all connections are equal.
As in Network Science, we represent the connections between components as a graph. However, do note that vertices in a network are components, and therefore decomposable into further subsystems.
Networks are not solely governed by physical interactions. Connections can be logical as well. In the case of a logical network, nodes correspond to concepts.
Networks can either be fixed or changing
- Fixed Networks abstract the structure of the network (based on the features one is studying).
- Dynamic Networks involve either structural changes or the flow of material, energy and information between nodes (see here for more).
  
  In fact we can use networks to model the flow of material between nodes.
Networks can either be homogeneous or heterogeneous in their nodes and edges.
Modeling a system as a network lends itself well to computational analysis and optimization.

Universal Attributes

Density and Coupling Strength
- Density, in the case of flow networks, relates to how many pathways there are directly (with no intermediate nodes) from one node to another
- Coupling determines the strength of Coupling between systems (i.e. strength of forces or flows).
  
  Coupling determines the dynamics of the system
Networks can grow or evolve over time ¹ .
- This simply means nodes or edges are added, changed, or removed.
- The structure of a network can follow certain patterns based on both the density and the coupling.
  - Small World Networks and especially Scale Free Network
  - The existence of hubs which connect to a lot of notes.
  - The link distribution for hubs and clusters follows an inverse power law.
  - The growth of hubs and clusters follow a simple rule — nodes with more connections attract more new connections. That is, growth exhibits a positive feedback loop.

Linkages , physical or logical, determine the structure of a system internally.
- Physical links determine physical structures
- Relational links determine logical structures

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