An exponential random graph model (ergm) is a probability distribution over graphs specified by a set of sufficient statistics and and corresponding parameters. The probability density function takes ...

Gibbs Sampler for Exponential Random Graph Models Peter Wills Mathematical Background The following discussion assumes a basic understanding of network science. Please see [1] for the relevant ...

Ask ordinary software developers how to code an exponential function (that is, ex) and most will tell you to simply write an expression in their favorite high level language. But a significant slic… ...

We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the ...

Among popular models, exponential random graph models (ERGM) have been developed to study these complex networks. For large networks, however, maximum likelihood estimation (MLE) of parameters in ...

Exponential and logarithmic functions are mathematical concepts with wide-ranging applications. Exponential functions are commonly used to model phenomena such as population growth, the spread of ...

In this paper, we present a pipelined, high throughput single precision floating point implementation of the exponential function with a latency of 19 cycles. We also present the Application Specific ...

Skyler J. Cranmer, Bruce A. Desmarais, Inferential Network Analysis with Exponential Random Graph Models, Political Analysis, Vol. 19, No. 1 (Winter 2011), pp. 66-86 ...

Yet, as figures 2 and 2A (same graph with linear and logarithmic Y-axes) show, this mode of payment is actually showing exponential growth.