Sub-social network based on contextual inferencing
Creating sub-social networks based on contextual inferencing may include analyzing, using a processor, social network activity among a plurality of users that belong to a social network and determining, using the processor, an interest category according to the social network activity. A sub-social network for the interest category may be created using the processor. The sub-social network may include a subset of the plurality of users of the social network having an association with the interest category.
1. A method, comprising:
analyzing, using a processor, social network activity among a plurality of users that belong to a social network;
determining, using the processor, an interest category according to the social network activity;
creating, using the processor, a sub-social network for the interest category; and
determining effectiveness of the sub-social network according to whether a user of the sub-social network accesses content items distributed through the sub-social network, wherein
the sub-social network comprises a subset of the plurality of users of the social network having an association with the interest category.
2. The method of claim 1 , wherein
the social network is for a primary user.
3. The method of claim 1 , further comprising:
determining that a content item from the user is related to the interest category; and
automatically distributing the content item only to the users in the sub-social network.
4. The method of claim 1 , further comprising:
continually adjusting membership of the sub-social network according to the effectiveness.
5. The method of claim 1 , further comprising:
removing the user of the sub-social network from the sub-social network responsive to determining that the effectiveness of the sub-social network for the user does not exceed a threshold value.
6. The method of claim 1 , further comprising:
calculating a probability for the associations of users of the social network with the interest category; and
selectively including users of the social network within the sub-social network according to whether the probability exceeds a threshold value.
7. A computer hardware system, comprising:
a processor programmed to initiate executable operations comprising:
analyzing social network activity among a plurality of users that belong to a social network;
determining an interest category according to the social network activity; and
creating, using the processor, a sub-social network for the interest category
determining effectiveness of the sub-social network according to whether a user of the sub-social network accesses content items distributed through the sub-social network, wherein
the sub-social network comprises a subset of the plurality of users of the social network having an association with the interest category.
8. The system of claim 7 , wherein
the social network is for a primary user.
9. The system of claim 7 , wherein
the processor is further programmed to initiate executable operations comprising:
determining that a content item from the user is related to the interest category; and
automatically distributing the content item only to the users in the sub-social network.
10. The system of claim 7 , wherein
the processor is further programmed to initiate executable operations comprising:
continually adjusting membership of the sub-social network according to the effectiveness.
11. The system of claim 7 , wherein
the processor is further programmed to initiate executable operations comprising:
removing the user of the sub-social network from the sub-social network responsive to determining that the effectiveness of the sub-social network for the user does not exceed a threshold value.
12. The system of claim 7 , wherein
the processor is further programmed to initiate executable operations comprising:
calculating a probability for the associations of users of the social network with the interest category; and
selectively including users of the social network within the sub-social network according to whether the probability exceeds a threshold value.
13. A computer program product, comprising:
a computer readable storage medium having program code stored thereon,
the program code executable by a processor to perform:
analyzing social network activity among a plurality of users that belong to a social network;
determining an interest category according to the social network activity; and
creating a sub-social network for the interest category;
determining effectiveness of the sub-social network according to whether a user of the sub-social network accesses content items distributed through the sub-social network, wherein
the sub-social network comprises a subset of the plurality of users of the social network having an association with the interest category.
14. The computer program product of claim 13 , wherein
the social network is for a primary user.
15. The computer program product of claim 13 , further comprising:
determining that a content item from the user is related to the interest category; and
automatically distributing the content item only to the users in the sub-social network.
16. The computer program product of claim 13 , further comprising:
continually adjusting membership of the sub-social network according to the effectiveness.
17. The computer program product of claim 13 , further comprising:
removing the user of the sub-social network from the sub-social network responsive to determining that the effectiveness of the sub-social network for the user does not exceed a threshold value.