Abstract—Many real world networks (graphs) are observed to be ’small worlds’, i.e., the average path length among nodes is small. On the other hand, it is somewhat unclear what other average path length values networks can produce. In particular, it is not known what the maximum and the minimum average path length values are. In this paper we provide a lower estimation for the shortest average path length (`) values in connected networks, and the largest possible average path length values in networks with given size and density. To the latter end, we construct a special family of graphs and calculate their average path lengths. We also demonstrate the correctness of our estimation by simulations. I
International audienceWe study two characteristics of a small-world graph proposed by Zhang et al. t...
Average clustering C is defined as the average number of triangles, out of all possible triangles, t...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
Path length calculation is a frequent requirement in studies related to graph theoretic problems suc...
We present two complementary analytical approaches for calculating the distribution of shortest path...
We study a novel model of random graph which exhibits the structural characteristics of the Watts- S...
Define the average path length in a connected graph as the sum of the length of the shortest path be...
Computing shortest paths between two given nodes is a fundamental operation over graphs, but known t...
Considerable effort has been devoted to the study of network structures and connectivity patterns an...
Properties of networks are often characterized in terms of features such as node degree distribution...
AbstractWe use matrix analysis to study a cycle plus random, uniform shortcuts—the classic small wor...
<p>CS graphs (blue), random (red), small-world (green), scale-free (purple) and biological (yellow) ...
AbstractFinding shortest paths is a fundamental problem in graph theory, which has a large amount of...
Network statistics such as node degree distributions, average path lengths, diameters, or clustering...
In the complete graph on an (m, n) array, methods are given for finding how many links have a given ...
International audienceWe study two characteristics of a small-world graph proposed by Zhang et al. t...
Average clustering C is defined as the average number of triangles, out of all possible triangles, t...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
Path length calculation is a frequent requirement in studies related to graph theoretic problems suc...
We present two complementary analytical approaches for calculating the distribution of shortest path...
We study a novel model of random graph which exhibits the structural characteristics of the Watts- S...
Define the average path length in a connected graph as the sum of the length of the shortest path be...
Computing shortest paths between two given nodes is a fundamental operation over graphs, but known t...
Considerable effort has been devoted to the study of network structures and connectivity patterns an...
Properties of networks are often characterized in terms of features such as node degree distribution...
AbstractWe use matrix analysis to study a cycle plus random, uniform shortcuts—the classic small wor...
<p>CS graphs (blue), random (red), small-world (green), scale-free (purple) and biological (yellow) ...
AbstractFinding shortest paths is a fundamental problem in graph theory, which has a large amount of...
Network statistics such as node degree distributions, average path lengths, diameters, or clustering...
In the complete graph on an (m, n) array, methods are given for finding how many links have a given ...
International audienceWe study two characteristics of a small-world graph proposed by Zhang et al. t...
Average clustering C is defined as the average number of triangles, out of all possible triangles, t...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...