IP Library Granted Patent US 12,737,778
Granted Patent B2
US 12,737,778 · App. 18/607,656 · Granted Sep 15, 2026

Systems and methods for social graph data analytics to determine connectivity within a community

Inventors: Evan V Chrapko (Edmonton, CA); Leo M. Chan (Edmonton, CA)
Assignee: WWW.TRUSTSCIENCE.COM INC.
H04L43/0811G06Q10/40G06Q30/02H04L43/065H04L45/124H04L67/306H04L67/535H04L67/75
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Quick Facts
Patent No.
US 12,737,778
App. No.
18/607,656
Granted
Sep 15, 2026
Kind
B2
Abstract

Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically assigned from third parties or based on the frequency of interactions between members. Connectivity values may represent such factors as alignment, reputation, status, and/or influence within a social graph of a network community, or the degree of trust. The paths connecting a first node to a second node may be retrieved, and social graph data analytics may be performed on the retrieved paths. Network connectivity values and/or other social graph data may be outputted to third-party processes and services for use in initiating automatic transactions or making automated network-based or real-world decisions.

Claims (62)

1 . A system for determining network connectivity between a first node and a second node, the system comprising:

a storage device for storage of data representing at least 10,000 nodes, a plurality of links between the at least 10,000 nodes, and information related to the links;

a communication device for receiving a request for determination of network connectivity between a first node and a second node of the at least 10,000 nodes;

processing circuitry configured to:

identify a plurality of paths from the first node to the second node within the at least 10,000 nodes, wherein each of the plurality of paths comprises at least two of a plurality of links to a plurality of nodes within the at least 10,000 nodes;

determine a normalized path weight for each identified path;

determine a set of qualified paths from the plurality of identified paths by comparing each path's normalized path weight to a path weight threshold value;

scale each of the qualified paths by a scaling number;

for each qualified path, determine a relative user weight; and

produce a network connectivity indication using each qualified path's scaling number and relative user weight.

2 . The system of claim 1 , wherein

determining the normalized path weight for each of the identified paths comprises:

for each path, multiplying the weights of all the links within that path.

3 . The system of claim 1 , wherein the system is further configured to:

transmit the network connectivity information to a user's computer.

4 . The system of claim 3 , wherein the system is further configured to:

transmit information for causing the user's computer to display an indication of the network connectivity information.

5 . The system of claim 1 , wherein the system is further configured to:

receive assignments, by a user associated with the first node, a user connectivity value for each of a plurality of outgoing links from the first node.

6 . The system of claim 5 , wherein the system is further configured to:

determine a partially subjective network connectivity indication using the user assigned connectivity values.

7 . The system of claim 6 , wherein the system is further configured to:

determine a composite network connectivity indication using a combination of the partially subjective network connectivity indication and the network connectivity indication.

8 . A method for determining network connectivity between a first node and a second node, the method comprising:

identifying, using computer processing circuitry, a plurality of paths to the second node from the first node within a network community of at least 10,000 nodes, wherein each path comprises two or more links to a plurality of nodes within the at least 10,000 nodes, and wherein each link has a user connectivity value;

determining, using the computer processing circuitry, a normalized path weight for each of the identified paths;

determining, using the computer processing circuitry, a set of qualified paths from the plurality of identified paths by comparing each path's normalized path weight to a path weight threshold value;

scaling, using the computer processing circuitry, each of the qualified paths by a scaling number;

for each of the qualified paths, using the computer processing circuitry to determine a relative user weight; and

producing, using the computer processing circuitry, a network connectivity indication using each qualified path's scaling number and relative user weight.

9 . The method of claim 8 , wherein

determining the normalized path weight for each of the identified paths comprises:

for each path, multiplying the weights of all the links within that path.

10 . The method of claim 8 , further comprising

transmitting the network connectivity information to a user's computer.

11 . The method of claim 10 , further comprising

causing the user's computer to display an indication of the network connectivity information.

12 . The method of claim 8 , further comprising

assigning, by a user associated with the first node, a user connectivity value to each of a plurality of outgoing links from the first node.

13 . The method of claim 12 , further comprising

determining a partially subjective network connectivity indication using the user assigned connectivity values.

14 . The method of claim 13 , further comprising

determining a composite network connectivity indication using a combination of the partially subjective network connectivity indication and the network connectivity indication.

15 . A non-transitory computer readable medium comprising instructions encoded thereon for providing media guidance for determining network connectivity between a first node and a second node, the instructions comprising instructions for causing computer processing circuitry to perform the steps of:

identifying a plurality of paths to the second node from the first node within a network community of at least 10,000 nodes, wherein each path comprises two or more links, and wherein each link has a user connectivity value;

determining a normalized path weight for each of the identified paths;

determining a set of qualified paths from the plurality of identified paths by comparing each path's normalized path weight to a path weight threshold value;

scaling each of the qualified paths by a scaling number;

for each of the qualified paths, determining a relative user weight; and

producing a network connectivity indication using each qualified path's scaling number and relative user weight.

16 . The medium of claim 15 , wherein

determining the normalized path weight for each of the identified paths comprises:

for each path, multiplying the weights of all the links within that path.

17 . The medium of claim 15 , further comprising instructions for

transmitting the network connectivity information to a user's computer.

18 . The medium of claim 17 , further comprising instructions for

causing the user's computer to display an indication of the network connectivity information.

19 . The medium of claim 15 , further comprising instructions for:

accepting assignments, by a user associated with the first node, a user connectivity value for each of a plurality of outgoing links from the first node; and

determining a partially subjective network connectivity indication using the user assigned connectivity values.

20 . The medium of claim 19 , further comprising instructions for:

determining a composite network connectivity indication using a combination of the partially subjective network connectivity indication and the network connectivity indication.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 18, 2024
From: CHRAPKO, EVAN V; CHAN, LEO M.
To: WWW.TRUSTSCIENCE.COM INC.
Reel/Frame 066802/0120 →
Continuity (9)
Continuation 17659292 · Apr 14, 2022
Continuation 17158840 · Jan 26, 2021
Continuation 16166581 · Oct 22, 2018
Continuation 15671102 · Aug 7, 2017
Continuation 15254642 · Sep 1, 2016
Continuation 14282935 · May 20, 2014
Continuation 13498429 · Sep 30, 2010
Provisional Application 61247343 · Sep 30, 2009
Related Publication 20240223480A1 · Jul 4, 2024
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