Abstract: As social networks become more powerful and sophisticated, each member of a social network may belong to different communities. The computing reputation for users in a single community is not adequate anymore. As a result, a method of calculating global reputation for each member is desirable. Various considerations are described to address challenges related to global reputation for a user who participates in activities among multiple communities. Considerations on accessibility of a community, quality vs. quantity of submissions, posting ideas vs. comments, weighting of each community, and volatility of the reputation value are discussed in the present invention. Finally, a formula for calculating a global reputation value of the user is proposed by combining all the considerations. A system that implements the global reputation computation is described.

Abstract: Techniques for determining whether employment of an employee will end, such as determining a risk of attrition for an employee. In some embodiments, one or more types of employment information for an employee may be evaluated and weighted to determine a likelihood that employment of the employee will end. Types of employment information that may be evaluated may include interaction information relating to a manner in which an employee interacts with coworkers, including a manner in which an employee is detected to use one or more software tools to interact with coworkers. Types of employment information that may be evaluated may include performance information, which may include performance ratings of an employee and information regarding an employee's capability to perform in the position. Types of employment information may include career path information, which may include employment history information for an employee and/or market information indicating job opportunities in the industry.