Time-Sensitive Analysis of Value Based Micro-blogs

Abstract

Social Media have become a major component of today's society. Value-based blogs make billions of dollars a year from web-based commercial markets which have become increasingly attractive entities for investors. This research will focus on how to evaluate a blog's value and how to make the invested money valuable. The purpose of the study aims to identify the time-sensitive curve of the amounts of visitors, so that business users who are interested in commercial marketing of social media could optimize their returns of investments by investigating the relationship between time of a post and its influences. In this research, the influences are measured by three parameters, including Likes count, Reprint count and Comments count. The results indicated that in addition to the content of a post, the following activities catch followers' attention: (1) encouraging them to reprint and make comment, (2) mentioning influential people in posts by using "fans economy", and (3) creating product-related topics.