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.

主权项

1. A machine-implemented method performed on one or more computing devices for measuring sharing behavior and audience coverage for one or more users, the method comprising:
receiving, for each user of the one or more users, data aggregating one or more instances of information sharing by the user over a predetermined period of time, wherein each instance of information sharing includes shared content from the user to a respective one or more recipients of the shared content; identifying, for each user of the one or more users, a respective one or more audience types corresponding to the respective one or more recipients of the shared content for each of the one or more instances; determining, for each user of the one or more users, a proportion of information sharing by the user to each of the respective one or more audience types over the predetermined period of time, wherein the determined proportion of information sharing to each of the respective one or more audience types helps define, in part, a pattern of audience diversity for information sharing over time for the user; and generating, for each user of the one or more users, a respective first graphical representation based on the proportion of information sharing by the user to each of the respective one or more audience types.