If E is not greater than 0, the network is a random network and, it is a complex network if E is greater than 0. A more complex network has the larger entropy. In addition, we defined E, E=s2-u, where u and s2 is mean and variance of degree respectively, as the entropy of network.
#Degree distribution calculation tool software#
technique alone, rather than the artifacts of a particular software tool or routing. We suggest that they should be used in the network analysis. class of underlying degree distributions, explicitly calculate the. Different from classical distribution patterns (bionomial distribution, Poisson distribution, and power law distribution, etc.), both network type and network complexity can be calculated and compared using the indices above. The results showed that the degree of most food webs was power law or exponentially distributed and they were complex networks. Use the 'Normal Distribution' calculator above to determine the probability of an event with a normal distribution. Network types of some food webs reported in Interaction Web Database were determined using the algorithm. The normal distribution is often used to describe and approximate any variable that tends to cluster around the mean, for example, the heights of male students in a college, the leaf sizes on a tree, the scores of a test, etc. mrinfo is a tool that silently discovers all multicast enabled links belonging to an IPv4 router. We provide our measurement tools (source. We base our work on a large dataset collected using mrinfo 14. the observed degree of these routers, from which we will estimate the degree distribution of internet core routers. To compute a left-tail probability, select P(X Some indices, e.g., aggregation index, coefficient of variation, skewness, etc., were first suggested for detecting network type. impact of L2 networks on the degree analysis. In present study a Java algorithm to calculate degree distribution and detect network type was presented.