Aggregating tags in images

1. A method comprising, by a client system of a first user associated with an online social network:

receiving, at the client system from a social-networking system of the online social network, an image associated with the online social network, wherein the image comprises a plurality of tags corresponding to a plurality of users associated with the online social network, respectively, and wherein each tag is associated with a particular location within the image;

generating, by the client system, an aggregated tag for two or more of the plurality of tags based on a distance of the locations of the tags to each other, wherein tags associated with locations within a threshold distance of each other are aggregated with the aggregated tag;

accessing, from the social-networking system, a social-graph affinity for each user associated with the aggregated tag;

rendering, by the client system, the image with a tag-label for the aggregated tag, wherein the tag-label comprises a name of the user having the strongest social-graph affinity with respect to the first user and a counter indicating a number of users corresponding to the aggregated tag; and

providing, to a display of the client system, the rendered image for presentation to the first user.

2. The method of claim 1 , wherein the client is a browser client of the client system.

3. The method of claim 1 , further comprising:

accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising:

a first node corresponding to the first user; and

a plurality of second nodes that each correspond to a concept or a second user associated with the online social network.

4. The method of claim 3 , wherein one or more of the users corresponds to one or more second nodes, respectively.

5. The method of claim 4 , wherein the social-graph affinity for each user is based on a degree of separation between the second node corresponding to the user and the first node.

6. The method of claim 1 , wherein the image further comprises a tag corresponding to the first user.

7. The method of claim 1 , wherein the image is a photograph.

8. The method of claim 1 , wherein the particular location associated with each tag is a point within the image.

9. The method of claim 1 , wherein the particular location associated with each tag is an area within the image.

10. The method of claim 9 , wherein the threshold distance is measured as a threshold percentage overlap of the area associated with each tag.

11. The method of claim 1 , further comprising calculating for each tag the distance of the location of the tag from the location of every other tag of the image.

12. The method of claim 11 , further comprising:

responsive to the first user changing a zoom level for the image, recalculating for each tag the distance of the location of the tag from the location of every other tag of the image; and

if the change in zoom level is zooming in, then re-generating the aggregated tag based on the recalculated distance of the locations of the tags to each other, wherein the re-generated aggregated tag is aggregated with at least one fewer tag of the plurality of tags; and

if the change in zoom level is zooming out, then re-generating the aggregated tag based on the recalculated distance of the locations of the tags to each other, wherein the re-generated aggregated tag is aggregated with at least one more tag of the plurality of tags.

13. The method of claim 1 , further comprising rendering the image with a tag-label for each tag of the plurality of tags not associated with the aggregated tag.

14. The method of claim 1 , wherein one or more of the users corresponds to one or more second users associated with the online social network, respectively.

15. The method of claim 1 , wherein one or more of the users corresponds to one or more concepts associated with the online social network, respectively.

16. The method of claim 1 , further comprising:

receiving, at the client system, an input from the first user requesting to view the image; and

sending, by the client system to the social-networking system; a request for the image.

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

receive, at a client system of a first user associated with an online social network from a social-network system of the online social network, an image associated with the online social network, wherein the image comprises a plurality of tags corresponding to a plurality of users associated with the online social network, respectively, and wherein each tag is associated with a particular location within the image;

generate, by the client system, an aggregated tag for two or more of the plurality of tags based on a distance of the locations of the tags to each other, wherein tags associated with locations within a threshold distance of each other are aggregated with the aggregated tag;

access, from the social-networking system, a social-graph affinity for each user associated with the aggregated tag; and

render, by the client system, the image with a tag-label for the aggregated tag, wherein the tag-label comprises a name of the user having the strongest social-graph affinity with respect to the first user and a counter indicating a number of users corresponding to the aggregated tag; and

provide, to a display of the client system, the rendered image for presentation to the first user.

18. A client system of a first user comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:

receive, at the client system from a social-networking system of an online social network, an image associated with an online social network, wherein the image comprises a plurality of tags corresponding to a plurality of users associated with the online social network, respectively, and wherein each tag is associated with a particular location within the image;

generate, by the client system, an aggregated tag for two or more of the plurality of tags based on a distance of the locations of the tags to each other, wherein tags associated with locations within a threshold distance of each other are aggregated with the aggregated tag;

access, from the social-networking system, a social-graph affinity for each user associated with the aggregated tag; and

render, by the client system, the image with a tag-label for the aggregated tag, wherein the tag-label comprises a name of the user having the strongest social-graph affinity with respect to the first user and a counter indicating a number of users corresponding to the aggregated tag; and

provide, to a display of the client system, the rendered image for presentation to the first user.