Abstract: 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.

Abstract: Disclosed herein are various embodiments of clutching mechanisms applicable to a dual reservoir pumping mechanism for a drug delivery device, the clutching mechanisms serving to allow translation of one of the reservoirs during the filling process and thereafter connecting the reservoirs together such that one can be driven relative to the other one by means of a leadscrew or other driving mechanism.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.