Abstract: This disclosure provides a system, method, and machine-readable memory for determining various pre-sharing insights and post-sharing insights. The system is configured to receive a request to share content with a first plurality of users represented as nodes in a graph associated with a first user. The system is also configured to determine a second plurality of users selected from the first plurality of users by traversing one or more nodes of the graph. The system further classifies the content to determine a plurality of topics for the content. The system then determines a third plurality of users selected from the second plurality of users by comparing the plurality of topics with user profile attribute values associated with each user of the second plurality of users. The system then communicates a notification to the first user that includes an identification of the third plurality of users.

Abstract: This disclosure provides a system, method, and machine-readable memory for determining various pre-sharing insights and post-sharing insights. The system is configured to receive a request to share content with a first plurality of users represented as nodes in a graph associated with a first user. The system is also configured to determine a second plurality of users selected from the first plurality of users by traversing one or more nodes of the graph. The system further classifies the content to determine a plurality of topics for the content. The system then determines a third plurality of users selected from the second plurality of users by comparing the plurality of topics with user profile attribute values associated with each user of the second plurality of users. The system then communicates a notification to the first user that includes an identification of the third plurality of users.

Abstract: Techniques for identifying suggested online content for company administrators to broadcast to company employees via an online social networking service are described. According to various embodiments, a plurality of suggested content items are displayed, via an administrator user interface, to a user associated with a company. A user request is then received via the administrator user interface, the request being to broadcast a recommendation to view a specific content item of the suggested content items to one or more employees of the company that are members of an online social networking service. The recommendation to view the specific content item is then broadcast to the employees of the company.

Abstract: Techniques for intelligent scheduling of content sharing by company employees via an online social networking service are described. According to various embodiments, a request is received from a member of an online social networking service to share a content item among members in the member's connection network on the online social networking service. Member behavior log data associated with the members in the connection network of the member is then accessed. Thereafter, an optimum sharing time for sharing the content item among the members in the member's connection network is calculated. The content item is then caused to be shared at the optimum sharing time with the members in the member's connection network.

Abstract: This disclosure provides a system, method, and machine-readable memory for determining various pre-sharing insights and post-sharing insights. The system is configured to receive a request to share content with a first plurality of users represented as nodes in a graph associated with a first user. The system is also configured to determine a second plurality of users selected from the first plurality of users by traversing one or more nodes of the graph. The system further classifies the content to determine a plurality of topics for the content. The system then determines a third plurality of users selected from the second plurality of users by comparing the plurality of topics with user profile attribute values associated with each user of the second plurality of users. The system then communicates a notification to the first user that includes an identification of the third plurality of users.

Abstract: This disclosure provides a system, method, and machine-readable memory for determining various pre-sharing insights and post-sharing insights. The system is configured to receive a request to share content with a first plurality of users represented as nodes in a graph associated with a first user. The system is also configured to determine a second plurality of users selected from the first plurality of users by traversing one or more nodes of the graph. The system further classifies the content to determine a plurality of topics for the content. The system then determines a third plurality of users selected from the second plurality of users by comparing the plurality of topics with user profile attribute values associated with each user of the second plurality of users. The system then communicates a notification to the first user that includes an identification of the third plurality of users.

Abstract: Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

Abstract: Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

Abstract: Disclosed in some examples are systems, methods, and machine readable mediums that infer contributions from content distributed on a hierarchical electronic content distribution system to the occurrence of events using observed interactions related to the content. For example, the system may infer that a particular item of content that was shared through the hierarchical electronic content distribution system caused a person to apply to the company seeking to be hired. As another example, the system may infer that a particular item of shared content caused or contributed to a sale of the company's products. As yet another example, the system may infer that a particular item of shared content caused or contributed to an increase in a metric associated with the organization.

Abstract: Techniques for forming groups of employees for receiving online content broadcasted by company administrators via an online social networking service are described. According to various embodiments, a plurality of content items is displayed, via an administrator user interface, to a user associated with a company. Thereafter, a user specification of a topic-based group is received together with a user request to broadcast a recommendation to view a specific content item to one or more employees of the company that are members of an online social networking service and that are associated with the topic-based group. The employees of the company that are associated with the topic-based group are then identified, and the recommendation to view the specific content item is broadcasted to the employees of the company that are associated with the topic-based group.

Abstract: Techniques for intelligent scheduling of content sharing by company employees via an online social networking service are described. According to various embodiments, a request is received from a member of an online social networking service to share a content item among members in the member's connection network on the online social networking service. Member behavior log data associated with the members in the connection network of the member is then accessed. Thereafter, an optimum sharing time for sharing the content item among the members in the member's connection network is calculated. The content item is then caused to be shared at the optimum sharing time with the members in the member's connection network.

Abstract: Techniques for identifying suggested online content for company administrators to broadcast to company employees via an online social networking service are described. According to various embodiments, a plurality of suggested content items are displayed, via an administrator user interface, to a user associated with a company. A user request is then received via the administrator user interface, the request being to broadcast a recommendation to view a specific content item of the suggested content items to one or more employees of the company that are members of an online social networking service. The recommendation to view the specific content item is then broadcast to the employees of the company.