Zynga Inc.

Daniel McCaffrey

Kenneth Rudin

Yan Zhang

Kevin A Lee

Ananda Ghosh

Ben Hall

Jason Paul Allen

Dylan Sproule

Clayton Rhodes Stark

Timothy J O Catlin

Shane Hall

Girish Keswani

Jim Baer

Cadir Lee

A communication analysis system for an online game is described. A communication history among players of the online game is retrieved. Communication tracking metrics are generated based on the communication history of the players of the online game. A retention analysis is performed with the communication tracking metrics to determine retention of players of the online game. A retention recommendation is generated based on the retention analysis.

Active social network

Techniques for recommending and establishing connections between users within a gaming social network, designed for connecting users having common gaming interests or characteristics. Embodiments include methods for recommending connections from members of an out-of-game social network, the gaming social network, and gaming activity participants; evaluating user profile information and user characteristics in a gaming social network and gaming activity in a game networking system to determine an appropriate set of connections for a selected user; and presenting graphical user interface content and configurations to enable the suggestion, review, and accepting of recommended connections in the gaming social network.

Method and system for matchmaking connections within a gaming social network

An optimized friend recommendation system is described. An active social network (ASN) of a player of an online game is determined based on a frequency of reciprocated communications between the player and friends of the player. The ASN of the player has friends of the player with a minimum number of closed-loop communications with the player within a predetermined duration. The social network of non-ASN friends outside the ASN of the player is identified. One or more non-ASN friends identified and suggested to socially engage with the player in an online game based on the social network of non-ASN friends of the player outside the ASN of the player are.

Friend recommendation system

Social network information of a player of a computer-implemented game is accessed to analyze a social interaction of the player with other players from the social network information to recommend other players of the social network of the player to further communicate with. A recommendation of other players is generated to the player based on a frequency of the social interaction. A selection of players from the recommendation is received from the player. A communication message is generated to the selected players.

Friend recommendation system for a computer-implemented game

Social network information of a player of a computer-implemented game is accessed to identify active players from the social network information. The active players each have a minimum number of reciprocated communications with the player within a time range. A recommendation of players is generated to the player based on the identified active players.

Friend recommendation system based on an active social network

Social network information of a player of a computer-implemented game is accessed to identify non-active players from the social network information. The non-active players each have a minimum number of unreciprocated communications with the player within a time duration. A recommendation of the recommended players is generated to the player based on the non-active players.

Friend recommendation system based on a non-active social network

A system and computer-implemented method for cross-promoting electronic games is provided. First and second electronic game databases are configured to store first and second game user attributes relating to first and second electronic game, respectively. An aggregator database is coupled to the first and second electronic game databases and is configured to store a first game user attribute, associated with the user and relating to a first electronic game, and user data of a user of the first electronic game. A processor is coupled to the aggregator database and configured to automatically associate a second game user attribute to the user according to a predetermined rule based on at least one of the first game user attribute stored in the aggregator database and the user data. The second game user attribute associated to the user by the processor is stored in the aggregator database.

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San Bruno, CA, United States of America

Daniel McCaffrey