USER STATUS UPDATE SUGGESTIONS

1 . A method comprising:

by one or more computer server machines, generating a suggestion to post a user status update comprising content related to an event;

by the one or more computer server machines, for each of the plurality of first users, determining a conversion score for the first user based at least in part on information in association with one or more nodes or edges of a social graph associated with the user and maintained by an online social-networking system, wherein the conversion score represents a probability that the first user will post a user status update comprising the content related to the event; and

by the one or more computer server machines, for each of the first users with a conversion score above a threshold score, sending the suggestion to the first user.

2 . The method of claim 1 , further comprising:

receiving an indication that the first user has posted a user status update comprising the content related to the event; and

updating a status element of the first user with the content related to the event.

3 . The method of claim 1 , wherein the social graph comprises a plurality of nodes and a plurality of edges connecting the nodes, and wherein:

a first node of the plurality of nodes corresponds to the first user of the plurality of users;

each of one or more second nodes of the plurality of nodes corresponds to a second user, an entity, or a content object, wherein at least some of the second nodes are connected by an edge to the first node; and

each edge of the plurality of edges corresponds to a relationship between two nodes of the plurality of nodes;

by the one or more computer server machines,

4 . The method of claim 3 , wherein the conversion score is calculated by:

measuring an affinity coefficient between the first node and each of the one or more second nodes, wherein the affinity coefficient represents a strength of a relationship between two nodes; and

applying one or more weighting factors to each of the affinity coefficients.

5 . The method of claim 4 , wherein the affinity coefficient is based on the first user liking, sharing, commenting on, or clicking on a content object corresponding to a second node.

6 . The method of claim 4 , wherein the conversion score for the first user represents a sum of the product of each affinity coefficient and its respective weighting factor.

7 . The method of claim 4 , wherein the weighting factors are determined by a machine learning model comprising a plurality of inputs, wherein the plurality of inputs comprise:

a time of day that the event occurs;

whether the first user has previously adopted a suggestion to post a user status update;

an affinity score between the first node and a second node corresponding to the event; and

a frequency with which the first user posts user status updates.

8 . The method of claim 4 , wherein the weighting factors are determined at least in part by an affinity coefficient between the first node and a second node corresponding to the event, and at least one sub-event occurring within the event.

9 . The method of claim 1 , wherein the event is a sporting event, a scheduled television broadcast, or a live event.

10 . The method of claim 1 , wherein the suggestion is sent prior to the event or during the event.

11 . The method of claim 1 , wherein the content related to the event comprises minutiae relating to the user, wherein the minutiae describes the first user's sentiment or activity during the event.

12 . One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

generate a suggestion to post a user status update comprising content related to an event;

for each of the plurality of first users, determine a conversion score for the first user based at least in part on information in association with one or more nodes or edges of a social graph associated with the user and maintained by an online social-networking system, wherein the conversion score represents a probability that the first user will post a user status update comprising the content related to the event; and

for each of the first users with a conversion score above a threshold score, send the suggestion to the first user.

13 . The media of claim 12 , wherein the software is further operable when executed to:

receive an indication that the first user has posted a user status update comprising the content related to the event; and

update a status element of the first user with the content related to the event.

14 . The media of claim 12 , wherein the social graph comprises a plurality of nodes and a plurality of edges connecting the nodes, wherein:

a first node of the plurality of nodes corresponds to the first user of the plurality of users;

each of one or more second nodes of the plurality of nodes corresponds to a second user, an entity, or a content object, wherein at least some of the second nodes are connected by an edge to the first node; and

each edge of the plurality of edges corresponds to a relationship between two nodes of the plurality of nodes;

15 . The media of claim 14 , wherein the conversion score is calculated by:

measuring an affinity coefficient between the first node and each of the one or more second nodes, wherein the affinity coefficient represents a strength of a relationship between two nodes; and

applying one or more weighting factors to each of the affinity coefficients.

16 . The media of claim 15 , wherein the affinity coefficient is based on the first user liking, sharing, commenting on, or clicking on a content object corresponding to a second node.

17 . The media of claim 15 , wherein the conversion score for the first user represents a sum of a product of each affinity coefficient and its respective weighting factor.

18 . The media of claim 15 , wherein the weighting factors are determined by a machine learning model comprising a plurality of inputs, wherein the plurality of inputs comprise:

a time of day that the event occurs;

whether the first user has previously adopted a suggestion to post a user status update;

an affinity score between the first node and a second node corresponding to the event; and

a frequency with which the first user posts user status updates.

19 . A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:

generate a suggestion to post a user status update comprising content related to an event;

for each of the plurality of first users, determine a conversion score for the first user based at least in part on information in association with one or more nodes or edges of a social graph associated with the user and maintained by an online social-networking system, wherein the conversion score represents a probability that the first user will post a user status update comprising the content related to the event; and

for each of the first users with a conversion score above a threshold score, send the suggestion to the first user.

20 . The system of claim 19 , wherein the processors are further operable when executing the instructions to:

receive an indication that the first user has posted a user status update comprising the content related to the event; and

update a status element of the first user with the content related to the event.