Abstract: A social graph, which records the actions of users in a social networking system platform, may be modeled at least in part as a collection of claims that may be used for advertising purposes, such as targeting advertisements, based on permissions granted by users and entities. The social networking system may also act as a publisher, enabling web applications and mobile applications to publish claims to a variety of audiences based on the permissions granted by users and entities, or agents of the social networking system. Permissions may be granted based on agreed-upon terms of service between agents, agents and publishers, agents and the social networking system platform, and publishers and the social networking system.

Abstract: A social networking system infers family connections between a target user and one or more additional social networking system users based on information stored by the social networking system about the target user and the target user's connections. The inferred connections may be sent to the target user for verification and stored by the social networking system if confirmed by the target user. Stored connection information about a set of users connected to the target user may be used to infer connections between the target user and subject users connected to one or more of the users connected to the target user.

Abstract: A social networking system enables a third party application to request user data based on action types and aggregations of a user's data corresponding to an action type with respect to multiple objects. Users of the social networking system may provide privacy or accessibility of their information based on the action type associated with the information (e.g., a user may allow a particular application to access all actions of a certain type, regardless of the source of those actions). The third party application may use this accessed information to generate personalized content for a user based on aggregations of the user's data and then publish the personalized content back to the social networking system.

Abstract: A social networking system enables a third party application to request user data based on action types and aggregations of a user's data corresponding to an action type with respect to multiple objects. Users of the social networking system may provide privacy or accessibility of their information based on the action type associated with the information (e.g., a user may allow a particular application to access all actions of a certain type, regardless of the source of those actions). The third party application may use this accessed information to generate personalized content for a user based on aggregations of the user's data and then publish the personalized content back to the social networking system.

Abstract: A social networking system obtains specific structured data about a user via a composer interface having textual content with incomplete portions and input fields corresponding to the incomplete potions. The input fields map to data fields in the user's profile and are selected based on the social networking system's need for the information associated with the data fields.

Abstract: A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Abstract: A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Abstract: A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Abstract: A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Abstract: A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Abstract: The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Abstract: The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Abstract: The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Abstract: The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Abstract: The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Abstract: A social networking system manages the accessibility of content items provided by users and directed to various audiences in the social networking system. An author provides the social networking system with a content item, a content item tag indicating an association between the content item and a tagged user, and a definition of a first audience who may view the content item. The social networking system then allows the tagged user to provide a definition of a second audience who may view the content item, where the second audience may contains users who are not in the first audience defined by the original author. The social networking system then determines whether a viewing user may view the posted content item (and tag) based on whether the viewing user is in at least one of the first audience and the second audience.

Abstract: A configuration for more efficient electronic financial transactions is disclosed. Users input personal and financial information into a system that validates the information to generate trusted financial profiles. Each user can establish trusted financial links with other users. The trusted financial link provides a mechanism for the user to allow other users to withdraw money from the link provider account. The data from these relationships and the financial data flowing through the system enable a measure of trustworthiness of users and the trustworthiness of all interactions in the system. The combination of trusted financial profiles, trusted financial links, and financial transactions between users create a measurable financial trust graph which is a true representation of the trusting economic relationships among the users. The financial trust graph enables a more accurate assessment of the creditworthiness and financial risk of transactions by users with little or no credit or transaction history.