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 ...

We propose the Base-(k+1) Graph, which is finite-time convergence for any number of nodes and maximum degree $k$, Thanks to this property, the Base-(k+1) Graph ...

Implementation for the bayesian approach of the Exponential Random Graph Model (ERGM) including nodal random effects to compensate for heterogeneity in the nodes of a network [1]. Most of statistical ...

Exponential-family random graph models (ERGMs) provide a principled and flexible way to model and simulate features common in social networks, such as propensities for homophily, mutuality, and friend ...

Concept of exponential growth, improvement, business strategy, arrow rising up 4K 2D animation, matte included Rising trend, stocks rising rapidly, bull market 4k animation Buy low sell high, stocks ...

Self-normalized processes arise naturally in statistical applications. Being unit free, they are not affected by scale changes. Moreover, self-normalization often eliminates or weakens moment ...

Abstract: Knowledge graphs have been widely used in various domains such as intelligent question answering, information retrieval, transportation, medicine, e-commerce, and others, and have achieved ...