Facebook, Inc.

Wenrui Zhao

Ajoy Joseph Frank

Janaka Liyanage

David Gross-Baser

Danilo Torres De Sa Resende

Ami Vora

Srikant Ramakrishna Ayyar

Louis Eisenberg

Eric Michel Giovanola

Deniz Demir

Yingsheng Gao

Islam Farid Hamed AbdelRahman

Liang He

Maxim Sokolov

Reid Steven Gershbein

Eric Michael Giovanola

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.

Measuring page viewership in a social network

A system determines a set of users satisfying a given criteria based on attribute values of the users. The system associates each value of an attribute with a representation of users having that attribute value. The representation of users may be an enumeration of users or a bit index. The system receives a request for determining a set of users satisfying a given criterion. The system identifies a logical operation based on the criterion and performs the logical operation to determine the set of users. The representation of the set of users may be distributed across a plurality of processors, allowing the system to perform the logical operation in parallel. The system may further determine statistical information describing a characteristic of the set of users, for example, page likes by the set of users. The statistical information may be presented to a business for analyzing their target audience.

Querying groups of users based on user attributes for social analytics

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Fremont, CA, United States of America

Wenrui Zhao