We introduce a stochastic model for complex networks possessing three qualitative features: power-law degree distributions, local clustering, and slowly growing diameter. The model is mathematically natural, permits a wide variety of explicit calculations, has the desired three qualitative features, and fits the complete range of degree scaling exponents and clustering parameters.

The present article proposes an interactional model of schizophrenic disorders in which three parameters of stressors (e.g. stressor category, stressor content, stressor descriptors) interact with four parameters of social networks/supports (e.g. structure, interactional properties, qualitative properties, functional indices) to produce a stress state characterized by positions along three orth...

statement of the problem: in the evolution of orthodontics, the changes in soft tissue, especially smile line attracts considerable attention. purpose: the present study was carried out to evaluate the correlation of the smile line with the vertical parameters of anterior part of face. materials and methods: forty-six iranian adults, aged between 18-25 years were selected. five quantitative and...

Bayesian networks typically require thousands of probability parameters for their specification, many of which are bound to be inaccurate. Knowledge of the direction of change in an output probability of a network occasioned by changes in one or more of its parameters, i.e. the qualitative effect of parameter changes, has been shown to be useful both for parameter tuning and in pre-processing f...

A Bayesian Network ~BN! consists of a qualitative part representing the structural assumptions of the domain and a quantitative part, the parameters. To date, knowledge engineering support has focused on parameter elicitation, with little support for designing the graphical structure. Poor design choices in BN construction can impact the network’s performance, network maintenance, and the expla...