Social media contributor weight

1. A computer-implemented method, comprising:

determining, by a computing device, identifying information associated with a user;

identifying content posted by the user on one or more social media platforms by searching the one or more social media platforms for content that is:

posted by the user with an account associated with at least a portion of the identifying information; and

relevant to a keyword not contained in the content, the relevancy being based on a connection to downstream content in which the keyword appears;

identifying downstream content associated with the content posted by the user; and

calculating, by the computing device, metrics measuring a contributor weight of the user based on the downstream content associated with the content posted by the user.

2. The computer-implemented method of claim 1 , wherein the calculating the metrics further comprises:

measuring characteristics of downstream content associated with the user; and

scoring the user based on the characteristics.

3. The computer-implemented method of claim 1 , wherein the identifying the downstream content includes identifying one or more posts in one or more reply trees of the content posted by the user.

4. The computer-implemented method of claim 1 , further comprising:

identifying a plurality of social media profiles associated with the user,

wherein the identifying content posted by the user on the one or more social media platforms further comprises searching the one or more social media platforms for content posted using a respective one of the social media profiles associated with the user.

5. The computer-implemented method of claim 1 , wherein the calculating metrics further comprises calculating metrics based on influence scores of contributors to the downstream content.

6. A non-transitory computer-readable storage medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising:

determining identifying information associated with a user;

identifying content posted by the user on one or more social media platforms by searching the one or more social media platforms for content that is:

posted by the user with a profile including at least a portion of the identifying information; and

relevant to a keyword not contained in the content, the relevancy being based on a connection to downstream content in which the keyword appears;

identifying downstream content associated with the content posted by the user; and

calculating metrics measuring a contributor weight of the user based on the downstream content.

7. The computer-readable storage medium of claim 6 , wherein the calculating metrics further comprises calculating metrics measuring a contributor weight of the user based on the downstream content containing a particular keyword.

8. The computer-readable storage medium of claim 6 , wherein the calculating metrics further comprises calculating metrics measuring a contributor weight of the user based on contributor weights of users posting in the downstream content.

9. The computer-readable storage medium of claim 6 , wherein the calculating metrics further comprises calculating metrics measuring a contributor weight of the user based on an average number of replies to the content posted by the user on the one or more social media platforms.

10. The computer-readable storage medium of claim 6 , wherein the calculating metrics further comprises calculating metrics measuring a contributor weight of the user based on a number of users replying to, forwarding, or reposting the content posted by the user on the one or more social media platforms.

11. The computer-readable storage medium of claim 6 , wherein the calculating metrics further comprises calculating metrics measuring contributor weights of other users related to the user by affinity connections.

12. A system, comprising:

a processor; and

a memory having instructions stored thereon that, if executed by the processor, cause the processor to:

determine identifying information associated with a user;

identify content posted by the user on one or more social media platforms by searching the one or more social media platforms for content:

posted by the user with a profile including at least a portion of the identifying information;

connected to downstream content in which a keyword appears; and

not containing the keyword;

identify downstream content associated with the content posted by the user; and

calculate metrics measuring a contributor weight of the user based on the downstream content associated with the content posted by the user.

13. The system of claim 12 , wherein the instructions executable by the processor to calculate the metrics further comprise instructions that, if executed by the processor, cause the processor to identify keywords with respect to which the user has weight stronger than one or more other users.

14. The system of claim 12 , wherein the memory further comprises instructions that, if executed by the processor, cause the processor to rank the user among a group of users based on a contributor weight with respect to one or more keywords.

15. The system of claim 12 , wherein the memory further comprises instructions that, if executed by the processor, cause the processor to target advertising content to the user based on a contributor weight with respect to a set of keywords.

16. The system of claim 12 , wherein the memory further comprises instructions that, if executed by the processor, cause the processor to monitor content posted by the user.

17. The system of claim 12 , wherein the memory further comprises instructions that, if executed by the processor, cause the processor to target advertising content to the user based on a contributor weight with respect to a set of keywords and sentiment expressed in the downstream content.

18. The computer-readable storage medium of claim 6 , wherein the calculating metrics measuring a contributor weight of the user based on the downstream content further comprises calculating metrics measuring a contributor weight of the user based on the frequency with which the content posted by the user on the one or more social media platforms is forwarded.