Providing rewards to players based on activity of associated players
A computer-implemented method and system are described for providing rewards, awards, and other incentives to players based on the activities of associated players is described. In some examples, the technology determines an activity level for players associated with a distinguished player, such as friends and other players within a social or game network, and rewards the distinguished player based on their activity levels.
1. A method comprising:
in an automated operation performed using one or more computer processors configured therefor, determining a friend activity metric for a player of a computer-implemented online game based on in-game activity of other players that are friends of the particular player within a social network, the determining of the friend activity metric being based at least in part on quantifying the number of friends of the player who, within a predefined preceding time window, actively played the game; and
providing a reward to the player based on the friend activity metric.
2. The method of claim 1 , further comprising determining that the friend activity metric exceeds a threshold value, the providing of the reward to the player being in response to determining that the friend activity metric exceeds the threshold value.
3. The method of claim 2 , wherein the threshold value is predefined.
4. The method of claim 2 , further comprising dynamically adjusting the threshold value during the time window based at least in part on rewards provided to other players of the online game.
5. The method of claim 1 , wherein providing the reward to the player comprises:
based at least in part on the friend activity metric, selecting a particular eward from a plurality of options; and
providing the selected reward to the player.
6. The method of claim 1 , wherein the social network is an in-game social network.
7. The method of claim 1 , wherein the predefined time window is a day, the friend activity metric indicating a daily active user value.
8. The method of claim 1 , wherein the predefined time window is a multi-day period.
9. The method of claim 1 , wherein the predefined time window is a particular daily timeslot.
10. The method of claim 1 , further comprising:
determining respective user types of the friends in the social network of the player; and
determining the reward based at least in part on the determined user types of the friends in the social network of the player.
11. A system comprising:
a user activity module comprising one or more computer processors configured to determine a friend activity metric for a player of a computer-implemented online game based on in-game activity of other players that are friends of the particular player within a social network, the friend activity metric being based at least in part on a quantification of the number of friends of the player who, within a predefined preceding time window, actively played the game; and
a reward module configured to provide a reward to the player based at least in part on the friend activity metric.
12. The system of claim 11 , werein the reward module is configured to determine whether or not the friend activity metric exceeds a threshold value, and to provide the reward to the player conditional upon the friend activity metric exceeding the threshold value.
13. The system of claim 12 ; wherein the threshold value is fixed.
14. The system of claim 12 , wherein the reward module is configured to dynamically adjust the threshold value during the time window based at least in part on rewards provided to other players of the online game.
15. The system of claim 11 ; wherein the reward module is configured to:
based at least in part on the friend activity metric, select a particular reward from a plurality of options; and
provide the selected reward to the player.
16. The system of claim 11 , wherein the predefined time window is a calendar day, the friend activity metric indicating a daily active user value.
17. The system of claim 11 , wherein the predefined time window is a multi-day period.
18. The system of claim 11 , wherein the predefined time window is a particular daily timeslot.
19. The system of claim 11 , further comprising a user type module configured to determine respective user types of the friends in the social network of the player, the reward module being configured to determine the reward based at least in part on the determined user types of the friends in the social network of the player.
20. A non-transitory computer readable storage medium having stored thereon instructions for causing a machine, when executing the instructions, to perform operations comprising:
determining a friend activity metric for a player of a computer-implemented online game based on in-game activity of other players that are friends of the particular player within a social network, the determining of the friend activity metric being based at least in part on quantifying the number of friends of the player who, within a predefined preceding time window, actively played the game; and
providing a reward to the player based on the friend activity metric.