Abstract: According to various exemplary embodiments, professional identity content associated with a member of a social network service is identified, based on a network search for online content that contains online content attributes that match member profile attributes included in member profile data associated with the member. Thereafter, a display of a prompt is generated, via a user interface in a device, wherein the prompt invites the member to update a member profile page associated with the member, based on the identified professional identity content.

Abstract: A method of managing advertising associated with dynamically expanding content is disclosed. A request for a dynamic expansion of content is detected. The dynamic expansion includes adding additional content to content presented in a user interface. It is determined that a set of advertisements associated with the user interface is to be updated based on an updating criterion. The updating includes replacing an advertisement of the set of advertisements with an additional advertisement. The updating of the set of advertisements is performed.

Abstract: Systems and methods for providing behavior feedback to members of a social network service are described. In some example embodiments, the systems and methods access information associated with positive feedback events for a member of a social network service, identify activities associated with the positive feedback events that were performed by the member of the social network service, and perform an action based on the identified one or more activities performed by the member of the social network service. For example, the systems and methods may display and/or update a dashboard that tracks and provides information associated with a member's status and interactions inside and outside of the social network service, may provide recommendations to other members that identify activities determined to generate positive feedback events for the members, and so on.

Abstract: A system, device, and method may include a network interface device configured to be communicatively coupled to a user interface. An electronic data storage may be configured to store social network data related to users having accessed a social network content item A processor, coupled to the network interface device and the electronic data storage, may be configured to identify a relationship among at least some of the users, determine a relevance of the relationship to a member of the social network associated with the social network content item based, at least in part, on a social network profile of the member and social network profiles of the users, and cause the network interface device to display, on the user interface, information related to the relationship on the user interface based, at least in part, on the relevance.

Abstract: Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying a person to whom a message is to be communicated, a social graph is analyzed to identify connection paths connecting the message sender, or an entity on whose behalf the message sender is acting, to the message recipient. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path having the highest path score, as derived by aggregating edge scores assigned to the edges, may be presented.

Abstract: A device, system, and method may include an electronic data storage configured to store social network data related to use of the social network by users. A processor, coupled to the electronic data storage, may be configured to determine a recommended action that a member of the social network may take to increase a likelihood of at least one of the uses of the social network to access a social network content item related to the member and determine an estimated statistical change in a rate at which the users may access the social network content item if the recommended action were implemented by the member based, at least in part, on the social network data stored in the electronic data storage.

Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.

Abstract: Systems and methods for providing behavior feedback to members of a social network service are described. In some example embodiments, the systems and methods access information associated with positive feedback events for a member of a social network service, identify activities associated with the positive feedback events that were performed by the member of the social network service, and perform an action based on the identified one or more activities performed by the member of the social network service. For example, the systems and methods may display and/or update a dashboard that tracks and provides information associated with a member's status and interactions inside and outside of the social network service, may provide recommendations to other members that identify activities determined to generate positive feedback events for the members, and so on.

Abstract: A device, system, and method may include an electronic data storage configured to store social network data related to use of the social network by users.

Abstract: A device, system, and method may include a network interface device configured to be coupled to a user interface. An electronic data storage may be configured to store social network data. A processor, coupled to the network interface device and the electronic data storage, may be configured to cause the network interface device to display, on the user interface, social network content items, cause the network interface device to display, on the user interface, recommended actions related to the social network and a member of the social network associated with the user interface, the recommended actions being implementable based on a user input via the user interface, the recommended actions being displayed based on at least one display characteristic, and iteratively update the display characteristic based, at least in part, on an implementation, by the user, of at least one of the recommended actions.

Abstract: A system, device, and method may include a network interface device configured to be communicatively coupled to a user interface. An electronic data storage may be configured to store social network data related to users having accessed a social network content item A processor, coupled to the network interface device and the electronic data storage, may be configured to identify a relationship among at least some of the users, determine a relevance of the relationship to a member of the social network associated with the social network content item based, at least in part, on a social network profile of the member and social network profiles of the users, and cause the network interface device to display, on the user interface, information related to the relationship on the user interface based, at least in part, on the relevance.

Abstract: According to various exemplary embodiments, professional identity content associated with a member of a social network service is identified, based on a network search for online content that contains online content attributes that match member profile attributes included in member profile data associated with the member. Thereafter, a display of a prompt is generated, via a user interface in a device, wherein the prompt invites the member to update a member profile page associated with the member, based on the identified professional identity content.

Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.

Abstract: Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.

Abstract: A method of managing advertising associated with dynamically expanding content is disclosed. A request for a dynamic expansion of content is detected. The dynamic expansion includes adding additional content to content presented in a user interface. It is determined that a set of advertisements associated with the user interface is to be updated based on an updating criterion. The updating includes replacing an advertisement of the set of advertisements with an additional advertisement. The updating of the set of advertisements is performed.

Abstract: Techniques for ranking search results generated by a search engine are described. Consistent with some embodiments, a search engine processes a search query to identify member profiles of members of a social network service for presentation in a search results page or user interface. The member profiles are presented in the search results ordered based on a ranking score that is derived at least in part by identifying similarities in the member profile attributes of the member profiles satisfying the search query and the member profile of the person performing the search. Accordingly, to the extent that a member profile has similarities shared in common with the member profile of the member performing the search, that member profile is more likely to be presented more prominently in the search results.

Abstract: Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying two entities represented as nodes in a social graph, the social graph is analyzed to identify connection paths connecting the nodes representing the two entities. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path or paths having the highest path scores, as derived by aggregating edge scores assigned to the edges, may be presented.

Abstract: Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying two entities represented as nodes in a social graph, the social graph is analyzed to identify connection paths connecting the nodes representing the two entities. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path or paths having the highest path scores, as derived by aggregating edge scores assigned to the edges, may be presented.

Abstract: Techniques for analyzing a social graph of a social network service to identify and then present connection paths connecting various entities are described. With some embodiments, subsequent to a user selecting or otherwise identifying a person to whom a message is to be communicated, a social graph is analyzed to identify connection paths connecting the message sender, or an entity on whose behalf the message sender is acting, to the message recipient. The social graph is implemented with a graph data structure having nodes and edges representing entities and associations between entities, respectively. With some embodiments, the nodes represent people, companies, educational institutions (e.g., schools, universities, etc.), and groups. After identifying the connection paths, the connection path having the highest path score, as derived by aggregating edge scores assigned to the edges, may be presented.