Social sharing system

A system comprising:

• one or more processors;
• and
• one or more machine-readable storage media having instructions stored thereon that, in response to being executed by the one or more processors, cause the system to perform operations comprising:
• obtaining user data from a social network, the user data including:
• social network connection information that relates to connections between users of the social network;
• sharing activity information that relates to sharing of information on the social network;
• and
• consumption information that relates to consumption of content items shared on the social network, as indicated by the sharing activity information;
• determining, based on the user data, one or more correlations between the sharing of the content items by users of the social network and consumption of the content items by the users of the social network, the one or more correlations indicating how the sharing of the content items and the connections between the users affect consumption of the content items;
• determining that a particular user of the social network is likely to consume a particular content item based on user data that is related to the particular user and that is related to one or more social network connections of the particular user corresponding to the one or more correlations in a manner that indicates that the particular user is likely to consume the particular content item;
• generating a recommendation related to the particular content item for the particular user in response to determining that the particular user is likely to consume the particular content item;
• and
• causing a perceptible user interface element of a user interface associated with the particular user to display the recommendation.

A method comprising:

• accessing, from a networked database, sharing activity information related to sharing of a content item on a social network by a first user;
• accessing, from the networked database, consumption information related to consumption of the content item, the consumption information relating to consumption of the content item by a second user;
• determining a first correlation between the sharing activity information and the consumption information, the first correlation indicating how the sharing of the content item by the first user relates to the consumption of the content item by the second user;
• identifying a relationship attribute of a first relationship between the first user and the second user;
• determining, based on the consumption information, a second correlation between the relationship attribute and the consumption of the content item by the second user;
• determining that a third user shared the content item on the social network;
• determining that a second relationship between the third user and a fourth user has the relationship attribute;
• in response to the first relationship and the second relationship having the relationship attribute and based on the second correlation and the third user sharing the content item, generating a recommendation related to consumption of the content item for the fourth user;
• and
• causing a perceptible user interface element of a user interface associated with the fourth user to display the recommendation.

One or more non-transitory machine-readable storage media having instructions stored thereon that, in response to being executed by one or more processors of a system, cause the system to perform operations comprising:

• accessing, from a networked database, sharing activity information related to sharing of a content item on a social network by a first user;
• accessing, from the networked database, consumption information related to consumption of the content item, the consumption information relating to consumption of the content item by a second user;
• determining a first correlation between the sharing activity information and the consumption information, the first correlation indicating how the sharing of the content item by the first user relates to the consumption of the content item by the second user;
• identifying a relationship attribute of a first relationship between the first user and the second user;
• identifying, based on the consumption information, a second correlation between the relationship attribute and the consumption of the content item by the second user;
• identifying a third user based on a second relationship between the third user and the first user having the relationship attribute;
• in response to the first relationship and the second relationship having the relationship attribute and based on the second correlation, generating a recommendation related to consumption of the content item for the third user;
• and
• causing a perceptible user interface element of a user interface associated with the third user to display the recommendation.