Automated Community-Based Credit Scoring With Social Network Data

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Solution Overview

Problem

Existing credit scoring systems fail to effectively assess the creditworthiness of individuals and communities that are unbanked or underbanked, lacking the ability to utilize social networking data and community dynamics for accurate financial evaluations.

Innovation Solution

An automated community-based credit evaluation system that integrates social networking intelligence to identify key actors, evaluate financial activities, and generate credit scores based on both monetary and non-monetary transactions, using smart contracts on a blockchain to formalize agreements and guarantees.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional credit scoring systems are used, then established financial institutions can assess creditworthiness, but unbanked or underbanked individuals and communities cannot be effectively evaluated

Engineering Contradiction:

Improveapplicability to unbanked populationsVSAvoidcreditworthiness assessment accuracy

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces social networking data as an intermediary factor to bridge the gap between traditional credit scoring and unbanked populations. By incorporating social graph information, community standing, and relational data as intermediate assessment dimensions, the system enables credit evaluation for individuals lacking traditional financial history while maintaining assessment reliability through multi-source validation.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The credit scoring system is designed to be universal by accepting multiple types of data inputs including traditional financial data, social networking data, community dynamics information, and transactional records. This multi-functional approach allows the same scoring mechanism to evaluate both banked and unbanked individuals, expanding accessibility while maintaining comprehensive assessment capability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If social networking data is utilized for credit scoring, then credit accuracy improves, but data privacy and security concerns arise

Engineering Contradiction:

Improvecredit score accuracyVSAvoidprivacy and security risks

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system applies local quality by differentiating the level of data processing and privacy protection based on the specific social networking data being used. Sensitive personal information is processed with enhanced privacy safeguards, while public profile data is utilized with standard protections. This differentiated approach enables comprehensive credit assessment while minimizing privacy risks to the extent possible.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent implements feedback mechanisms that allow continuous monitoring and adjustment of data usage practices. By establishing feedback loops between data collectors, processors, and individuals whose data is used, the system can identify and correct privacy issues, ensure informed consent, and adjust data collection practices to reduce security risks while maintaining assessment accuracy.

Inventive Principle:

Principle #23Feedback

3Productivity

If automated community-based evaluation is implemented, then evaluation efficiency increases, but system complexity increases

Engineering Contradiction:

Improveevaluation speedVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated evaluation system is segmented into distinct functional modules including data collection components, social graph analysis modules, community dynamics evaluation components, credit scoring algorithms, and result generation systems. This modular segmentation enables parallel processing of different evaluation dimensions, improving overall efficiency while allowing each module to be developed, tested, and maintained independently, thereby managing system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent replaces manual credit evaluation processes with automated computational systems that use algorithms and data processing techniques. By substituting mechanical manual assessment with automated digital processing, the system dramatically increases evaluation speed and productivity while managing complexity through standardized computational processes and integrated data processing pipelines.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250322455A1System and method for automated community-based credit scoring

Publication Date: 2025.10.16 WELLS FARGO BANK NA

AI summary

Systems and methods are provided, that include collecting, via a data collection system, a social network data from one or more social networks, and receiving a credit voucher from a first entity of the one or more social networks, wherein the credit voucher assigns a credit score to a second entity of the one or more social networks. The systems and methods also include generating a community-based credit score for the second entity of the one or more social networks based on an analysis of the social network data and the credit score, and receiving a request for the community-based credit score sent by a requestor. The systems and methods additionally include providing the community-based credit score to the requestor.