Friend recommendation system based on a non-active social network

A non-transitory computer-readable storage medium storing a set of instructions that, when executed by a processor, cause the processor to perform operations, comprising:

• accessing social network information of a player of a computer-implemented game;
• identifying, using at least one processor of a machine, one or more non-active players from the social network information, the one or more non-active players each having a minimum number of unreciprocated communications and a maximum number of reciprocated communications with the player within a time duration;
• generating a recommendation of one or more recommended players to the player based on the one or more non-active players;
• identifying one or more non-active players with a number of reciprocated communications with the player within an elapsed time below a threshold value;
• identifying one or more non-active players with at least one unreciprocated communication with the player within the elapsed time;
• identifying one or more non-active players who were previously included in the active social network of the player;
• and
• forming the recommendation based on the one or more non-active players with a number of reciprocated communications with the player within the elapsed time below the threshold value, the one or more non-active players with at least one unreciprocated communication with the player within the elapsed time, and the one or more non-active players who were previously included in the active social network of the player,
• wherein identifying the one or more non-active players from the social network information further comprises:
• determining a frequency of reciprocated communications within the elapsed time between the player and the other players from a social network of the player;
• identifying one or more active players from the social network of the player based on the frequency of the reciprocated communications within the elapsed time;
• and
• determining an active social network of the player from the one or more active players.

A system comprising:

• at least one processor of a machine;
• a non-active social network module configured to:
• access social network information of a player of a computer-implemented game;
• identify, using at least one processor of a machine, one or more non-active players from the social network information, the one or more non-active players each having a minimum number of unreciprocated communications and a maximum number of reciprocated communications with the player within a time duration;
• generate a recommendation of one or more recommended players to the player based on the one or more non-active players;
• identify one or more non-active players with a number of reciprocated communications with the player within an elapsed time below a threshold value;
• identify one or more non-active players with at least one unreciprocated communication with the player within the elapsed time;
• and
• identify one or more non-active players who were previously included in the active social network of the player;
• and
• form the recommendation based on the one or more non-active players with a number of reciprocated communications with the player within the elapsed time below the threshold value, the one or more non-active players with at least one unreciprocated communication with the player within the elapsed time, and
• the one or more non-active players who were previously included in the active social network of the player, and
• an active social network module configured to:
• determine a frequency of reciprocated communications within the elapsed time between the player and the other players from a social network of the player;
• identify one or more active players from the social network of the player each having the minimum number of reciprocated communications with the player within the elapsed time;
• and
• determine an active social network of the player from the one or more active players.