Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood (MCMC MLE). Goodness of fit ...

Abstract: This paper presents two new approximations for the logarithmic and exponential functions. These approximations require only a square rooter function, a scalar function and a constant. Thus, ...

Abstract: With the rapid development of social media, people get increasingly involved in public affairs through social networks, e.g., microblogs. Although social network plays a significant role in ...

Bergm provides a comprehensive framework for Bayesian parameter estimation and model selection for exponential random graph models using advanged computational algorithms. It can also supply graphical ...

Do teenagers think video games positively or negatively impact their lives? By The Learning Network Are W.N.B.A. players being compensated fairly? By The Learning Network A new collection of graphs, ...