Apparatus and methods for expanding contacts for a social networking platform
View Patent ↗An apparatus for expanding contacts for a social networking platform includes at least a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the at least a processor to determine potential contacts for a user with an automated process including identifying a user identification on an immutable sequential listing, retrieving activity data linked to the user identification, retrieving a body of sets of user activity data as a function of the activity data, and identifying potential contacts by generating a match function between the user and each set of the sets of the user activity data. Processor further receives a selection input from the user device selecting a contact of the potential contacts, delivers an information request about the user to a selected contact device, and receives an information response from the selected contact device.
1. An apparatus for expanding contacts for a social networking platform, the apparatus comprising:
at least a processor communicatively connected to a user device; and
a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
determine potential contacts for a user, wherein determining is an automated process comprising:
identifying a user identification on an immutable sequential listing, wherein the immutable sequential listing comprises at least a digitally signed assertion, and wherein the digitally signed assertion is a collection of textual data signed using a secure proof;
retrieving activity data stored in the memory linked to the user identification, wherein activity data is retrieved utilizing a match function;
retrieving a body of sets of user activity data as a function of the activity data, wherein the body of sets of user activity data comprise the at least a digitally signed assertion; and
identifying potential contacts by generating the match function between the user and each set of the sets of the user activity data, wherein the match function includes a machine-learning model, wherein the machine-learning model correlates the user identification and outputs the sets of the user activity data;
receive a selection input from a user device operated by the user, the selection input selecting a contact of the potential contacts;
deliver an information request about the user comprising a list of strengths for selected contact to rank to a selected contact device, wherein generating the list of strengths for the selected contact comprises:
generating a score as a function of one or more attributes for the selected contact;
calculating a confidence index as a function of the score;
generating the list of strengths for the selected contact as a function of a the confidence index and an ideal threshold; and
receive an information response from the selected contact device; and
add at least an element of the information response to a user profile, wherein the user profile is stored on the immutable sequential listing.
2. The apparatus of claim 1 , wherein the at least a processor is communicatively connected to the user profile.
3. The apparatus of claim 2 , wherein the at least a processor is configured to:
request approval from the user device to add the at least an element of the information response to the user profile; and
add the at least an element of the information response to the user profile if the at least a processor receives approval from the user device.
4. The apparatus of claim 2 , wherein the at least an element of the information response identifies the selected contact who provided the information response.
5. The apparatus of claim 1 , wherein the at least a processor is configured to provide to the selected contact device access to the user profile.
6. The apparatus of claim 1 , wherein the information response describes a qualification of the user.
7. The apparatus of claim 1 , wherein the information request is tailored by the user device.
8. The apparatus of claim 1 , wherein identifying the user identification comprises identifying a digital signature.
9. The apparatus of claim 1 , wherein the sets of the user activity data comprise a sub-listing on the immutable sequential listing.
10. A method for expanding contacts for a social networking platform, the method comprising:
determining, by at least a processor, potential contacts for a user, wherein determining is an automated process comprising:
identifying a user identification on an immutable sequential listing, wherein the immutable sequential listing comprises at least a digitally signed assertion, and wherein the digitally signed assertion is a collection of textual data signed using a secure proof;
retrieving activity data stored in the memory linked to the user identification, wherein activity data is retrieved utilizing a match function;
retrieving a body of sets of user activity data as a function of the activity data, wherein the body of sets of user activity data comprise the at least a digitally signed assertion; and
identifying potential contacts by generating the match function between the user and each set of the sets of the user activity data, wherein the match function includes a machine-learning model, wherein the machine-learning model correlates the user identification and outputs the sets of the user activity data;
receiving, at the at least a processor, a selection input from the user device selecting a contact of the potential contacts;
delivering, by the at least a processor, an information request about the user comprising a list of strengths for selected contact to rank to a selected contact device, wherein generating the list of strengths for the selected contact comprises:
generating a score as a function of one or more attributes for the selected contact;
calculating a confidence index as a function of the score;
generating the list of strengths for the selected contact as a function of a the confidence index and an ideal threshold; and
receiving, at the at least a processor, an information response from the selected contact device; and
adding, at the at least a processor, at least an element of the information response to a user profile, wherein the user profile is stored on the immutable sequential listing.
11. The method of claim 10 , wherein the at least a processor is communicatively connected to the user profile.
12. The method of claim 11 , wherein the at least a processor is configured to:
request approval from the user device to add the at least an element of the information response to the user profile; and
add the at least an element of the information response to the user profile if the processor receives approval from the user device.
13. The method of claim 11 , wherein the at least an element of the information response identifies the selected contact who provided the information response.
14. The method of claim 10 , wherein the at least a processor is configured to provide to the selected contact device access to the user profile.
15. The method of claim 10 , wherein the information response describes a qualification of the user.
16. The method of claim 10 , wherein the information request is tailored by the user device.
17. The method of claim 10 , wherein identifying the user identification comprises identifying a digital signature.
18. The method of claim 10 , wherein the sets of the user activity data comprise a sub-listing on the immutable sequential listing.