12.2 Networks (Graphs)

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The maximum number of possible edges in a network isupper N left parenthesis upper N minus 1 right parenthesis divided by 2N(N1)/2 (the factor

2 in the denominator arising because each edge has two endpoints); the connectivity

upper CC is the actual number of edges (which may be weighted by the strength of each

edge) divided by the maximum number. A graph withupper C equals 1C = 1 is known as complete.

The degree matrix upper DD is constructed as

upper D equals normal d normal i normal a normal g left parenthesis k 1 comma ellipsis comma k Subscript upper N Baseline right parenthesis commaD = diag(k1, . . . , kN) ,

(12.16)

wherek Subscript iki the degree of theiith node, from which the Laplace matrixupper L equals upper D minus upper AL = DA and

the normalized Laplace matrix upper L overbar equals upper I minus upper D Superscript negative 1 Baseline upper A ¯L = ID1A can be determined. The eigenval-

ues of upper LL are useful for giving rapid information about the connectivity, robustness,

stability, and so forth.

Two important generic topologies of graphs are as follows:

(i) random (Erd˝os–Rényi) graphs. Each pair of nodes is connected with proba-

bility pp; the connectivity of such a network peaks strongly at its average value and

decays exponentially for large connectivities. The probabilityp left parenthesis k right parenthesisp(k) that a node haskk

edges is given bymu Superscript k Baseline e Superscript negative mu Baseline divided by k factorialμkeμ/k!, wheremu equals 2 upper N pμ = 2Np is the mean number of edges per node.

The smallest number of edges connecting a randomly chosen pair of nodes (i.e., the

network diameter upper LL) is tilde log upper Nlog N (cf. tilde upper NN for a regular network). The cliquishness

(clustering coefficient) German upper C equals muC = μ. This type of graph has a percolation-like transition.

If there are upper MM interconnexions, then when upper M equals upper N divided by 2M = N/2 a giant cluster of connected

nodes appears.

A special case of the random graph is the small world. This term applies to

networks in which the smallest number of edges connecting a randomly chosen pair

of nodes is comparable to thelog upper Nlog N expected for a random network (i.e., much smaller

than for a regular network), whereas the local properties are characteristic of a regular

network (i.e., the clustering coefficient is high). The name comes from the typical

response, “It’s a small world!” uttered when it turns out that two people meeting for

the first time and with no obvious connexion between them have a common friend. 12

(ii) the “scale-free” networks, in which the probability upper P left parenthesis k right parenthesisP(k) of a node having

kk links tilde k Superscript negative gammakγ, where gammaγ is some constant. 13 A characteristic feature of a scale-free

network is therefore that it possesses a very small number of highly connected nodes.

Many properties of the network are highly vulnerable to the removal of these nodes.

12 The first published account appears in F. Karinthy, Láncszemek (in: Címszavak a Nagy Encik-

lopédiához, vol. 1, pp. 349–354. Budapest: Szépirodalmi Könyvkiadó (1980). It was first published

in the 1920s). A simple way of constructing a model small-world network has been given by Watts

and Strogatz: Start with a ring of nodes each connected to theirkk nearest neighbours (i.e., a regular

network). Then detach connexions from one of their ends with probability pp and reconnect the

freed end to any other node (ifp equals 1p = 1, then we recover a random network). Aspp increases,upper LL falls

quite rapidly, butGerman upper CC only slowly (as3 left parenthesis mu minus 2 right parenthesis divided by left bracket 4 left parenthesis mu minus 1 right parenthesis right bracket3(μ2)/[4(μ1)]). The small-world property applies to the

régime with lowupper LL but highGerman upper CC.

13 Scale-free networks seem to be widespread in the world. The first systematic investigation of

their properties is supposed to have been conducted by Dominican monks in the thirteenth and

fourteenth centuries, in connexion with eradicating heresy.