Abstract: Disclosed herein are systems, methods, and devices for generating connectivity metrics associated with a referral processor. Methods may include identifying a first plurality of candidates based on a plurality of search parameters, and identifying a plurality of social connections associated with the first plurality of candidates and a first plurality of employees. Methods may also include generating at least one connectivity metric associated with the first plurality of candidates based on the plurality of social connections, where the at least one connectivity metric characterizes a strength of at least one social connection between a candidate of the first plurality of candidates and an employee of the first plurality of employees. The methods may also include receiving a selection of at least one candidate and at least one employee, the selection being based, at least in part, on the at least one connectivity metric.

Abstract: Systems, methods, and devices are disclosed herein for implementing a referral processor. Systems include a profile data aggregator configured to aggregate data from at least one data source and generate candidate profile data based, at least in part, on the aggregated data. Systems include a connectivity metric generator configured to identify at least one connection between at least one candidate and at least one employee based on the candidate profile data. The connectivity metric generator may be configured to generate at least one connectivity metric based on the identified at least one connection. Systems include a referral processing engine configured to return the at least one candidate and the at least one employee as a result. The referral processing engine may be further configured to generate messages based on the at least one connectivity metrics. The messages may be configured to automate a referral of the at least one candidate.

Abstract: Systems, methods, and devices are disclosed herein for implementing a referral search. Methods may include retrieving candidate profile data and social connection data from at least one data source, where the candidate profile data characterizes one or more features associated with a plurality of candidates, and where the social connection data characterizes social connections between the plurality of candidates and a plurality of other entities. The methods may also include generating a first plurality of candidate profile data objects based on the retrieved candidate profile data and social connection data, where each of the first plurality of candidate profile data objects is associated with at least one candidate. The methods may further include generating an index data object based on the first plurality of candidate profile data objects.

Abstract: Disclosed herein are systems, methods, and devices for implementing a referral processing engine. Methods may include identifying a candidate based on a plurality of search parameters, and identifying an employee based on social connection data identifying at least one social connection between the candidate and the employee. The methods may also include generating a first message configured to be sent to the employee, where the first message includes one or more data values characterizing features of the candidate and a job opportunity. The methods may also include receiving a first response from the employee, where the first response characterizes a referral decision of the employee. The methods may also include updating, based on the first response, at least one candidate profile data object stored in a data storage system.