METHODS AND SYSTEMS FOR PROVIDING SOCIAL NETWORKING-BASED ADVERTISEMENTS

1 . A method for providing social networking-based advertisements to users, the method comprising:

collecting user information relating to a user from a user profile on a social networking website, wherein the user information includes relationship data that describes a social network of members of the social networking website connected to the user;

determining whether the user information has missing attributes;

in response to determining that the user information has missing attributes, deriving the missing attributes from users profiles associated with the members of the social network;

using the collected user information and the missing attributes to select an advertisement; and

providing the selected advertisement to the user and at least one member of the social network associated with the user.

2 . The method of claim 1 , further comprising statistically deriving the missing attributes by calculating an average or a common denominator from user information associated with the user profiles of members within the social network.

3 . The method of claim 1 , wherein the collected user information and the missing attributes include at least one interest associated with the user, the method further comprising creating a micronetwork of members in the social network that share the at least one interest.

4 . The method of claim 3 , further comprising:

using the collected user information and the missing attributes to select the advertisement for the user, wherein the advertisement relates to the at least one interest; and

providing the selected advertisement that relates to the at least one interest to the user and the micronetwork.

5 . The method of claim 3 , further comprising statistically deriving the missing attributes by calculating an average or a common denominator from user information associated with the user profiles of members within the micronetwork.

6 . The method of claim 1 , wherein the collected user information and the missing attributes include a plurality of interests associated with the users the method further comprising:

creating a plurality of micronetworks, wherein each micronetwork includes members in the social network that share at least one interest from the plurality of interests; and

using the collected user information and the missing attributes to select the advertisement for the user, wherein the advertisement relates to the at least one interest from the plurality of interests; and

providing the selected advertisement that relates to the at least one interest to the user and members of the social networking website that are included in at least two micronetworks.

7 . The method of claim 1 , further comprising creating a queue that includes a plurality of the user profiles, wherein each of the plurality of the user profiles has not had user information collected from the user profile in a predetermined amount of time.

8 . The method of claim 1 , further comprising inhibiting private user information associated with the user profile from being collected.

9 . The method of claim 1 , wherein the collected user information includes links to various members of the social networking website, the method further comprising creating a micronetwork of the various members of the social networking website.

10 . The method of claim 1 , further comprising:

creating an enriched user profile that includes the collected user information and the missing attributes; and

transmitting the enriched user profile to an entity that selects and provides an advertisement for the user and the social network.

11 . The method of claim 10 , wherein the entity is one of: a third party social networking enhancement provider, an advertiser, and a social networking provider.

12 . The method of claim 1 , wherein the at least one member of the social network is provided with the selected advertisement based on a degree of separation.

13 . The method of claim 12 , wherein the degree of separation associated with the selected advertisement is determined based on a statistical model.

14 . The method of claim 1 , further comprising:

monitoring interactions of the user with the selected advertisement; and

in response to receiving a positive response to the selected advertisement, providing the selected advertisement to one or more members in the social network.

15 . The method of claim 1 , further comprising:

monitoring interactions of the user with the selected advertisement; and

in response to the user interacting with the selected advertisement, providing the selected advertisement to one or more members in the social network.

16 . The method of claim 1 , further comprising calculating the effectiveness of the selected advertisement based on particular actions, wherein the selected advertisement is provided to the user and the at least one member of the social network until a particular effectiveness is not achieved.

17 . The method of claim 16 , wherein the effectiveness is calculated by calculating the lift over average of the selected advertisement.

18 . The method of claim 1 , further comprising:

receiving effectiveness requirements from an advertiser associated with the selected advertisement; and

providing the selected advertisement to the user and the at least one member of the social network until the received effectiveness requirements are not achieved.

19 . The method of claim 1 , further comprising creating a micronetwork that includes the user and one or more members of the social networking website and that is associated with the user, wherein:

the collected user information and the missing attributes are associated with the micronetwork and are not associated with the user; and

the micronetwork is created based on at least one of: an interest, a visitation to a member, and a selection of the advertisement.

20 . A system for providing social networking-based advertisements to users, the system comprising:

a processor that:

collects user information relating to a user from a user profile on a social networking website, wherein the user information includes relationship data that describes a social network of members of the social networking website connected to the user;

determines whether the user information has missing attributes;

in response to determining that the user information has missing attributes, derives the missing attributes from users profiles associated with the members of the social network;

uses the collected user information and the missing attributes to select an advertisement for the user; and

provides the selected advertisement to the user and at least one member of the social network associated with the user.

21 . The system of claim 20 , wherein the processor is further configured to statistically derive the missing attributes by calculating an average or a common denominator from user information associated with the user profiles of members within the social network.

22 . The system of claim 20 , wherein the collected user information and the missing attributes include at least one interest associated with the user, and wherein the processor is further configured to create a micronetwork of members in the social network that share the at least one interest.

23 . The system of claim 22 , wherein the processor is further configured to:

use the collected user information and the missing attributes to select the advertisement for the user, wherein the advertisement relates to the at least one interest; and

provide the selected advertisement that relates to the at least one interest to the user and the micronetwork.

24 . The system of claim 22 , wherein the processor is further configured to statistically derive the missing attributes by calculating an average or a common denominator from user information associated with the user profiles of members within the micronetwork.

25 . The system of claim 20 , wherein the collected user information and the missing attributes include a plurality of interests associated with the user, and wherein the processor is further configured to:

create a plurality of micronetworks, wherein each micronetwork includes members in the social network that share at least one interest from the plurality of interests; and

use the collected user information and the missing attributes to select the advertisement for the user, wherein the advertisement relates to the at least one interest from the plurality of interests; and

provide the selected advertisement that relates to the at least one interest to the user and members of the social networking website that are included in at least two micronetworks.

26 . The system of claim 20 , wherein the processor is further configured to create a queue that includes a plurality of the user profiles, wherein each of the plurality of the user profiles has not had user information collected from the user profile in a predetermined amount of time.

27 . The system of claim 20 , wherein the processor is further configured to inhibit private user information associated with the user profile from being collected.

28 . The system of claim 20 , wherein the collected user information includes links to various members of the social networking website, and wherein the processor is further configured to create a micronetwork of the various members of the social networking website.

29 . The system of claim 20 , wherein the processor is further configured to:

create an enriched user profile that includes the collected user information and the missing attributes; and

transmit the enriched user profile to an entity that selects and provides an advertisement for the user and the social network.

30 . The system of claim 29 , wherein the entity is one of: a third party social networking enhancement provider, an advertiser, and a social networking provider.

31 . The system of claim 20 , wherein the at least one member of the social network is provided with the selected advertisement based on a degree of separation.

32 . The system of claim 31 , wherein the degree of separation associated with the selected advertisement is based on a statistical model.

33 . The system of claim 20 , wherein the processor is further configured to:

monitor interactions of the user with the selected advertisement; and

in response to receiving a positive response to the selected advertisement, provide the selected advertisement to one or more members in the social network.

34 . The system of claim 20 , wherein the processor is further configured to:

monitor interactions of the user with the selected advertisement; and

In response to the user interacting with the selected advertisement, providing the selected advertisement to one or more members in the social network.

35 . The system of claim 20 , wherein the processor is further configured to calculate the effectiveness of the selected advertisement based on particular actions, and wherein the selected advertisement is provided to the user and the at least one member of the social network until a particular effectiveness is not achieved.

36 . The system of claim 35 , wherein the processor is further configured to calculate lift over average of the selected advertisement.

37 . The system of claim 20 , wherein the processor is further configured to:

receive effectiveness requirements from an advertiser associated with the selected advertisement; and

provide the selected advertisement to the user and the at least one member of the social network until the received effectiveness requirements are not achieved.

38 . The system of claim 20 , wherein the processor is further configured to create a micronetwork that includes the user and one or more members of the social networking website and that is associated with the user, wherein the collected user information and the missing attributes are associated with the micronetwork and are not associated with the user, and wherein the micronetwork is created based on at least one of: an interest, a visitation to a member, and a selection of the advertisement.