Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: In one embodiment, a method includes maintaining access to a data store of information corresponding to nodes and edges; receiving a user-generated character string comprising one or more characters of text entered by a user in an input form as they are entered by the user; searching the stored information for matches between the user-generated character string and existing nodes; determining whether or not a match between the user-generated character string and an existing node exists; and when it is determined that at least one match exists, generating an edge between the node corresponding to the user and the node for which the best match is determined; and when it is determined that no match between the user-generated character string and an existing node exists, generating a new node based on the user-generated character string, and generating an edge between the node corresponding to the user and the new node.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects. In one embodiment, one of the search algorithms identifies second-order connections of the user by referring to a connection index that stores a list of the connections of the users.

Abstract: A social networking system receives a query associated with a user and, in response, provides a combined result set comprising objects stored by a social networking system that match the query. The combined result set comprises multiple result sets obtained from different search algorithms. The various objects stored by the social networking system may be of different types representing different concepts, such as user objects, application objects, event objects, location objects, group objects, and hub/page objects, any of which may be included in the result set. The objects of the result set may be further filtered, ordered, and/or grouped based at least in part on known relationships of the user with the objects, such as geographic distances between locations associated with the user and the objects. In one embodiment, one of the search algorithms identifies second-order connections of the user by referring to a connection index that stores a list of the connections of the users.