Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

Abstract: A user posting content to a social networking system provides a conversion definition along with the content. The conversion definition identifies a type of interaction associated with the content, such as type of interaction with the content that the user would like to track. After the content is presented to additional users, the social networking system identifies additional users performing the type of interaction with the content identified by the conversion definition. One or more metrics describing the interactions of the type of interaction associated with the content are provide to the user that posted the content.

Abstract: A user posting content to a social networking system provides a conversion definition along with the content. The conversion definition identifies a type of interaction associated with the content, such as type of interaction with the content that the user would like to track. After the content is presented to additional users, the social networking system identifies additional users performing the type of interaction with the content identified by the conversion definition. One or more metrics describing the interactions of the type of interaction associated with the content are provide to the user that posted the content.

Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

Abstract: An online system allows creators and owners of content items presented within the system to view real-time metrics related to the content items. The online system stores data describing user interactions with content items in one or more activity logs and processes the activity logs in a distributed manner activity to identify user interactions with content items. For example, activity logs are divided into several portions that are processed in parallel using aggregation operators to generate user interaction aggregations. An aggregation includes one or more user interactions associated with the same content item and sharing certain criteria. From the user interaction aggregations, the online system determines one or more requested metrics, and may combine user interaction aggregations related to different content items when computing metrics.

Abstract: A social networking system generates one or more metrics describing user interactions with objects to describe the popularity of the objects among users. Data describing actions performed by social networking system users on objects stored by the social networking system to identify an action, the user performing the action and the object on which the action was performed. Stored actions performed on a selected object are retrieved and a subset of the actions is generated by sampling the stored actions at a sampling rate. A number of unique users included in the subset is determined and used along with the sampling rate to determine the number of unique users included in the retrieved actions, which is used to derive a metric describing user interaction with the selected object.

Abstract: A social networking system generates one or more metrics describing user interactions with objects to describe the popularity of the objects among users. Data describing actions performed by social networking system users on objects stored by the social networking system to identify an action, the user performing the action and the object on which the action was performed. Stored actions performed on a selected object are retrieved and a subset of the actions is generated by sampling the stored actions at a sampling rate. A number of unique users included in the subset is determined and used along with the sampling rate to determine the number of unique users included in the retrieved actions, which is used to derive a metric describing user interaction with the selected object.

Abstract: A social networking system generates one or more metrics describing user interactions with objects to describe the popularity of the objects among users. Data describing actions performed by social networking system users on objects stored by the social networking system to identify an action, the user performing the action and the object on which the action was performed. Stored actions performed on a selected object are retrieved and a subset of the actions is generated by sampling the stored actions at a sampling rate. A number of unique users included in the subset is determined and used along with the sampling rate to determine the number of unique users included in the retrieved actions, which is used to derive a metric describing user interaction with the selected object.

Abstract: An online system allows creators and owners of content items presented within the system to view real-time metrics related to the content items. The online system stores data describing user interactions with content items in one or more activity logs and processes the activity logs in a distributed manner activity to identify user interactions with content items. For example, activity logs are divided into several portions that are processed in parallel using aggregation operators to generate user interaction aggregations. An aggregation includes one or more user interactions associated with the same content item and sharing certain criteria. From the user interaction aggregations, the online system determines one or more requested metrics, and may combine user interaction aggregations related to different content items when computing metrics.

Abstract: An online system allows creators and owners of content items presented within the system to view real-time metrics related to the content items. The online system stores data describing user interactions with content items in one or more activity logs and processes the activity logs in a distributed manner activity to identify user interactions with content items. For example, activity logs are divided into several portions that are processed in parallel using aggregation operators to generate user interaction aggregations. An aggregation includes one or more user interactions associated with the same content item and sharing certain criteria. From the user interaction aggregations, the online system determines one or more requested metrics, and may combine user interaction aggregations related to different content items when computing metrics.

Abstract: An online system allows creators and owners of content items presented within the system to view real-time metrics related to the content items. The online system stores data describing user interactions with content items in one or more activity logs and processes the activity logs in a distributed manner activity to identify user interactions with content items. For example, activity logs are divided into several portions that are processed in parallel using aggregation operators to generate user interaction aggregations. An aggregation includes one or more user interactions associated with the same content item and sharing certain criteria. From the user interaction aggregations, the online system determines one or more requested metrics, and may combine user interaction aggregations related to different content items when computing metrics.

Abstract: A user posting content to a social networking system provides a conversion definition along with the content. The conversion definition identifies a type of interaction associated with the content, such as type of interaction with the content that the user would like to track. After the content is presented to additional users, the social networking system identifies additional users performing the type of interaction with the content identified by the conversion definition. One or more metrics describing the interactions of the type of interaction associated with the content are provide to the user that posted the content.

Abstract: An advertisement interface receives an input identifying an object maintained by or otherwise accessible to a social networking system. A type associated with the object identified by the input is determined and one or more goals associated with the type are presented. Based on selection of a goal, one or more options are presented, where at least one of the presented options is associated with the selected goal. Hence, goals specific to a type of object may be presented and options specific to a selected goal are presented to increase advertisement effectiveness. Based on the selected options, an advertisement is created and displayed to other users of the social networking system.

Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

Abstract: A social networking system generates one or more metrics describing user interactions with objects to describe the popularity of the objects among users. Data describing actions performed by social networking system users on objects stored by the social networking system to identify an action, the user performing the action and the object on which the action was performed. Stored actions performed on a selected object are retrieved and a subset of the actions is generated by sampling the stored actions at a sampling rate. A number of unique users included in the subset is determined and used along with the sampling rate to determine the number of unique users included in the retrieved actions, which is used to derive a metric describing user interaction with the selected object.

Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

Abstract: A social networking system includes pages created by users for providing content related to topics of interest. An interaction engine captures data and maintains analytical information about how users interact with pages and posts. When a user takes an action such as liking a page or a post, the interaction engine updates the page's activity history to reflect the activity and information about the user who took the action. The interaction engine also measures the reach of pages and posts, by determining how and from where each user viewed the page and its contents. The interaction engine further tracks the community's interest in pages and posts by determining how many unique users create stories that include a page or its content. An insights module uses the data obtained by the interaction engine to synthesize graphical reports about page interactions and present the reports to page administrators.

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 a user within a time period prior to an action performed by the user are recorded in a first label object associated with the action. The action performed by the user generates new content to be presented to other users. The identifiers of the new content and the first label object are recorded in new label objects associated with actions performed by the other users subsequent to viewing the new content. Various metrics may be determined by analyzing the label objects associated with actions performed by users of the social networking system, including virality, reach, and identifying users that share a particular content item.