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the technical details of the network’s capabilities. [1] [2] Planning a new network/service involves implementing the new system across the first four layers of the OSI Reference Model. [1] Choices must be made for the protocols and transmission technologies. [1] [2] The network planning process involves three main steps:
The degrees of the vertices are represented as half-links or stubs. The sum of stubs must be even in order to be able to construct a graph (=). The degree sequence can be drawn from a theoretical distribution or it can represent a real network (determined from the adjacency matrix of the network).
The degree distribution P(k) of a network is defined to be the fraction of nodes in the network with degree k. The simplest network model, for example, the (ErdÅ‘s–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k (or Poisson in ...
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of ...
In the context of network theory a scale-free ideal network is a random network with a degree distribution following the scale-free ideal gas density distribution. These networks are able to reproduce city-size distributions and electoral results by unraveling the size distribution of social groups with information theory on complex networks ...
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Average path length is one of the three most robust measures of network topology, along with its clustering coefficient and its degree distribution.Some examples are: the average number of clicks which will lead you from one website to another, or the number of people you will have to communicate through, on an average, to contact a complete stranger.
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