Latent space model for analysis of conventions

This paper propose a new approach to predict spreading behavior of conventions. Conventions in our case are verbal i.e. phrases used by many people for a new purpose regarding a social issue. We study usage of some conventions in Twitter popularized among Persian speaking users. We show that the number of tweets that contain a convention phrase in a period has a bell shaped curve. We use the latent space model to calculate the distance matrix for a convention in order to understand its spreading behavior. We first calculate the distance matrices of the conventions and utilize them to estimate the distance matrix for new conventions.