Abstract: A user creates an event in a social networking system specifying a location, a time, and a guest list of other users invited to the event. The social networking system generates a page associated with the event that provides information about the event and identifies whether users have responded to invitations to the event. The content of the page may be customized for the user viewing the page to encourage the viewing user to attend the event. For example, the viewing user's relationship to and/or similar characteristics with other users on the guest list is determined and used by the social networking system to identify the users whose responses to invitations are shown to the viewing user via the page. Additionally, a notification method more prominently distributes acceptances of invitations to other users to encourage attendance.

Abstract: A social networking system analyzes a user's interactions with objects linked to bookmarks associated with the user to generate a score for each bookmark. The score represents or is based on the probability that the user will access the bookmark or the linked object. For example, the score is a predicted click-through rate for the bookmark. Based on the scores, a subset of the bookmarks is selected for presentation to the user. Additionally, the scores may be used to order the selected subset of the bookmarks. Hence, the bookmarks that the user is most likely to access are presented while the bookmarks the user is less likely to access may be hidden.

Abstract: A social networking system generates stories based on actions taken by entities of the social networking system. The system applies a set of rules to the stories to categorize each story and displays the news feed as multiple sections, each displaying a category of generated stories. A story may be categorized according to its content and/or the user associated with the story. In addition to stories about a user's direct connections, stories may be generated by the user's soft connections. Supplemental content may be generated based on a section of the newsfeed currently being accessed and displayed in a related content unit adjacent to a news feed section.

Abstract: Effects of content communications propagated to users of a social networking system may be tracked and measured by the social networking system. Identifiers of content presented to users within a time period before the users interact with the content are recorded. As users interact with the content, additional data describing the interactions with the content and the users interacting with the content are stored. Various metrics may be determined from the data describing interactions with the content. For example including virality metrics and reach metrics, may be determined and presented to the user that posted the content.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A user creates an event in a social networking system specifying a location, a time, and a guest list of other users invited to the event. The social networking system generates a page associated with the event that provides information about the event and identifies whether users have responded to invitations to the event. The content of the page may be customized for the user viewing the page to encourage the viewing user to attend the event. For example, the viewing user's relationship to and/or similar characteristics with other users on the guest list is determined and used by the social networking system to identify the users whose responses to invitations are shown to the viewing user via the page. Additionally, a notification method more prominently distributes acceptances of invitations to other users to encourage attendance.

Abstract: A user creates an event in a social networking system specifying a location, a time, and a guest list of other users invited to the event. The social networking system generates a page associated with the event that provides information about the event and identifies whether users have responded to invitations to the event. The content of the page may be customized for the user viewing the page to encourage the viewing user to attend the event. For example, the viewing user's relationship to and/or similar characteristics with other users on the guest list is determined and used by the social networking system to identify the users whose responses to invitations are shown to the viewing user via the page. Additionally, a notification method more prominently distributes acceptances of invitations to other users to encourage attendance.

Abstract: Effects of content communications propagated to users of a social networking system may be tracked and measured by the social networking system. Identifiers of content presented to users within a time period before the users interact with the content are recorded. As users interact with the content, additional data describing the interactions with the content and the users interacting with the content are stored. Various metrics may be determined from the data describing interactions with the content. For example including virality metrics and reach metrics, may be determined and presented to the user that posted the content.

Abstract: Effects of content communications propagated to users of a social networking system may be tracked and measured by the social networking system. Identifiers of content presented to users within a time period before the users interact with the content are recorded. As users interact with the content, additional data describing the interactions with the content and the users interacting with the content are stored. Various metrics may be determined from the data describing interactions with the content. For example including virality metrics and reach metrics, may be determined and presented to the user that posted the content.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A social networking system analyzes a user's interactions with objects linked to bookmarks associated with the user to generate a score for each bookmark. The score represents or is based on the probability that the user will access the bookmark or the linked object. For example, the score is a predicted click-through rate for the bookmark. Based on the scores, a subset of the bookmarks is selected for presentation to the user. Additionally, the scores may be used to order the selected subset of the bookmarks. Hence, the bookmarks that the user is most likely to access are presented while the bookmarks the user is less likely to access may be hidden.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A social networking system analyzes a user's interactions with objects linked to bookmarks associated with the user to generate a score for each bookmark. The score represents or is based on the probability that the user will access the bookmark or the linked object. For example, the score is a predicted click-through rate for the bookmark. Based on the scores, a subset of the bookmarks is selected for presentation to the user. Additionally, the scores may be used to order the selected subset of the bookmarks. Hence, the bookmarks that the user is most likely to access are presented while the bookmarks the user is less likely to access may be hidden.

Abstract: A user creates an event in a social networking system specifying a location, a time, and a guest list of other users invited to the event. The social networking system generates a page associated with the event that provides information about the event and identifies whether users have responded to invitations to the event. The content of the page may be customized for the user viewing the page to encourage the viewing user to attend the event. For example, the viewing user's relationship to and/or similar characteristics with other users on the guest list is determined and used by the social networking system to identify the users whose responses to invitations are shown to the viewing user via the page. Additionally, a notification method more prominently distributes acceptances of invitations to other users to encourage attendance.

Abstract: A user creates an event in a social networking system specifying a location, a time, and a guest list of other users invited to the event. The social networking system generates a page associated with the event that provides information about the event and identifies whether users have responded to invitations to the event. The content of the page may be customized for the user viewing the page to encourage the viewing user to attend the event. For example, the viewing user's relationship to and/or similar characteristics with other users on the guest list is determined and used by the social networking system to identify the users whose responses to invitations are shown to the viewing user via the page. Additionally, a notification method more prominently distributes acceptances of invitations to other users to encourage attendance.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A social networking system generates stories based on actions taken by entities of the social networking system. The system applies a set of rules to the stories to categorize each story and displays the news feed as multiple sections, each displaying a category of generated stories. A story may be categorized according to its content and/or the user associated with the story. In addition to stories about a user's direct connections, stories may be generated by the user's soft connections. Supplemental content may be generated based on a section of the newsfeed currently being accessed and displayed in a related content unit adjacent to a news feed section.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: A social networking system analyzes a user's interactions with objects linked to bookmarks associated with the user to generate a score for each bookmark. The score represents or is based on the probability that the user will access the bookmark or the linked object. For example, the score is a predicted click-through rate for the bookmark. Based on the scores, a subset of the bookmarks is selected for presentation to the user. Additionally, the scores may be used to order the selected subset of the bookmarks. Hence, the bookmarks that the user is most likely to access are presented while the bookmarks the user is less likely to access may be hidden.