Calculating trust scores based on social graph statistics

摘要

Systems and methods for calculating trust scores (trustworthiness) based on social graph statistics are described herein. The trust scores (trustworthiness) may be determined within or between individuals, groups, and/or entities represented by nodes in a social graph or other network. Social graph analytics may be used to determine connectivity statistics for each node in the social graph or network. The trust score may then be calculated by analyzing a number of paths connecting nodes in the network and the connectivity statistics associated with the nodes of the network. This trust score may then be used to make prospective real-world decisions, such as a request for credit or initiating a transaction.

主权项

1. A method for determining the network connectivity between a first node and a second node connected to the first node by at least one path, the method comprising:
identifying paths to the second node from the first node within a network community; and using processing circuitry to:
determine a path score for each identified path;determine a user connectivity value between the first node and the second node;determine at least one connectivity statistics value for the first node;combine the at least one connectivity statistics value and the user connectivity value between the first node and the second node to produce a network connectivity indication; andoutput the network connectivity indication.