Determining an influential audience member
Determining a video audience is disclosed, including: identifying a set of videos based at least in part on a received criterion; querying a video database to retrieve engagements associated with each of at least a subset of the set of videos; identifying a set of audience members associated with the engagements associated with each of the at least subset of the set of videos; and querying a user database to gather events associated with each of at least a subset of the set of audience members.
1. A system, comprising:
a processor configured to:
query a video database to retrieve engagements associated with a set of videos;
process the engagements to identify an audience member associated with the set of videos;
query one or more user databases to gather events associated with the audience member; and
determine whether the audience member comprises an influential audience member based at least in part on the events associated with the audience member wherein to determine whether the audience member comprises the influential audience member comprises to:
determine an influence score associated with the audience member based at least in part on the events associated with the audience member; and
compare the influence score associated with the audience member to a threshold influence score; and
a memory coupled to the processor and configured to provide the processor with instructions.
2. The system of claim 1 , wherein the engagements include one or more of the following: a user posting of a comment, a user selection to like a video, a user selection to add a video as a favorite, a user selection to share a video with another user, a user selection to add a video to a playlist, and a user selection to subscribe to a video channel.
3. The system of claim 1 , wherein the processor is further configured to identify the set of videos based at least in part on a received criterion.
4. The system of claim 3 , wherein to identify the set of videos based at least in part on the received criterion includes to:
determine a set of video channels that match the criterion; and
query the video database for videos associated with the set of video channels to include in the set of videos.
5. The system of claim 1 , wherein the processor is further configured to perform filtering on the set of videos.
6. The system of claim 1 , wherein the processor is further configured to query the one or more user databases for user profile data associated with the audience member.
7. The system of claim 6 , wherein the user profile data includes one or more of the following: the audience member's location, the audience member's age, the audience member's gender, the audience member's subscriptions to which video channels, identifying information associated with videos that the audience member has uploaded to his or her video channel, a number of views of the uploaded videos, and identifying information associated with users that subscribe to the audience member's video channel.
8. The system of claim 1 , wherein the events queried for the audience member include one or more of the following: a number of times the audience member has engaged with video content including the set of videos, a number of views of video content uploaded by the audience member, a number of subscribers associated with the audience member, a rate of new subscribers associated with the audience member, a number of videos in the set of videos with which the audience member has engaged, and an ability associated with the audience member to drive an audience associated with the audience member.
9. The system of claim 1 , wherein in the event that the audience member is determined to comprise the influential audience member, the processor is further configured to:
determine that a subsequently received engagement is received from the influential audience member; and
send an alert associated with the subsequently received engagement based at least in part on the determination.
10. The system of claim 1 , wherein the processor is further configured to present data associated with the audience member.
11. The system of claim 1 , wherein the processor is further configured to:
send a query associated with video updates;
receive a message associated with video updates;
determine that the audience member is associated with a video update based at least in part on the message; and
query the one or more user databases for the video update associated with the audience member.
12. The system of claim 1 , wherein to query the video database includes to use an application programming interface (API) call.
13. The system of claim 1 , wherein to query the video database includes to crawl a webpage.
14. The system of claim 1 , wherein the video database and the one or more user databases comprise a same database.
15. The system of claim 1 , wherein to process the engagements to identify the audience member associated with the set of videos includes to:
extract a set of user names from the engagements; and
extract a unique user name from the set of user names, wherein the unique user name comprises the audience member.
16. The system of claim 1 , wherein to query the video database comprises the processor being configured to send a request to a message broker server to cause the message broker server to send one or more queries to the video database.
17. A method, comprising:
querying a video database to retrieve engagements associated with a set of videos;
processing, using a processor, the engagements to identify an audience member associated with the set of videos;
querying one or more user databases to gather events associated with the audience member; and
determining whether the audience member comprises an influential audience member based at least in part on the events associated with the audience member, wherein determining whether the audience member comprises the influential audience member comprises:
determining an influence score associated with the audience member based at least in part on the events associated with the audience member; and
comparing the influence score associated with the audience member to a threshold influence score.
18. The method of claim 17 , wherein the engagements include one or more of the following: a user posting of a comment, a user selection to like a video, a user selection to add a video as a favorite, a user selection to share a video with another user, a user selection to add a video to a playlist, and a user selection to subscribe to a video channel.
19. The method of claim 17 , further comprising querying the one or more user databases for user profile data associated with the audience member.
20. The method of claim 19 , wherein the user profile data includes one or more of the following: the audience member's location, the audience member's age, the audience member's gender, the audience member's subscriptions to which video channels, identifying information associated with videos that the audience member has uploaded to his or her video channel, a number of views of the uploaded videos, and identifying information associated with users that subscribe to the audience member's video channel.
21. The method of claim 17 , wherein the events queried for the audience member include one or more of the following: a number of times the audience member has engaged with video content including the set of videos, a number of views of video content uploaded by the audience member, a number of subscribers associated with the audience member, a rate of new subscribers associated with the audience member, a number of videos in the set of videos with which the audience member has engaged, and an ability associated with the audience member to drive an audience associated with the audience member.
22. The method of claim 17 , wherein in the event that the audience member is determined to comprise the influential audience member, further comprising:
determining that a subsequently received engagement is received from the influential audience member; and
sending an alert associated with the subsequently received engagement based at least in part on the determination.
23. A computer program product, the computer program product comprising a non-transitory computer readable storage medium and comprising computer instructions for:
querying a video database to retrieve engagements associated with a set of videos;
processing the engagements to identify an audience member associated with the set of videos;
querying one or more user databases to gather events associated with the audience member; and
determining whether the audience member comprises an influential audience member based at least in part on the events associated with the audience member, wherein determining whether the audience member comprises the influential audience member comprises:
determining an influence score associated with the audience member based at least in part on the events associated with the audience member; and
comparing the influence score associated with the audience member to a threshold influence score.