The Measurement and Modeling Analysis for Internet Users Behavior Properties

Abstract

The paper reports internet media user behavior characteristics measurement modeling and a preliminary investigation into interpersonal communication in the social media. It addresses the potential need to reformulate current thinking about what influences the internet media has brought to social communication. We look particularly at some of the most potent forms of today's interpersonal communication-We-chat, Weixin, QQ, Facebook, Twitter etc. The media users behavior characteristics is measured and modeling to improve communications level. We explored motivation driving behavior in social media. The serial random event chain model is adapted to analysis the event correlation. The conclusion summarizes the highlight measure point that we still need the demand for original way of interpersonal communication. The study of user behavior characteristics in the social media is great significance for the public opinions, network marketing promotion and improving user experience.