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Network small-worldness has been quantified by a small-coefficient, Another method for quantifying network small-worldness utilizes the original definition of the small-world network comparing the clustering of a given network to an equivalent lattice network and its path length to an equivalent random network.Small-world properties are found in many real-world phenomena, including websites with navigation menus, food webs, electric power grids, metabolite processing networks, networks of brain neurons, voter networks, telephone call graphs, and social influence networks.YP advertisers receive higher placement in the default ordering of search results and may appear in sponsored listings on the top, side, or bottom of the search results page.A small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but the neighbors of any given node are likely to be neighbors of each other and most nodes can be reached from every other node by a small number of hops or steps.
Secondly, most pairs of nodes will be connected by at least one short path.
This follows from the defining property that the mean-shortest path length be small.
Several other properties are often associated with small-world networks.
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Tacit assumptions, if not examined, can cause a bias in the literature on graphs in favor of finding small-world networks (an example of the file drawer effect resulting from the publication bias).