Measuring Sharing Behavior and Audience Coverage in Online Communities

摘要

Configurations for measuring sharing behavior and audience coverage for one or more users are provided. Some configurations can include the following components: an input processor (IP), a data processor (DP) and a visualization processor (VP). The IP extracts data from user logs or processes existing raw data, and prepares the data for the data processor. In one example, the IP transforms each user record into a structured file including time-ordered data corresponding to instances of information sharing activity, target users, and associated date-time(s) for the sharing activity. The DP takes the time-ordered data from the IP and performs statistical evaluations to classify and determine the audience coverage and sharing behavior. The VP receives processed data from the DP and generates different graphical visualizations (e.g., one or more graphs) based on the statistical analysis provided by the DP.