Network Identity Disclosure Feedback for Accurate User Trust
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Solution Overview
Problem
In networks where users maintain multiple identities, the network value is overstated and the number of true users is difficult to quantify, leading to a weakened relationship between users and network value.
Innovation Solution
Implementing techniques for communicating user social behavior and transactions, establishing processes for collective identity confidence, and incentivizing users to maintain one real identity through mutual self-disclosure and identity verification, while using a knowledge graph for network recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are allowed to maintain multiple identities on the network, then user access and connectivity are improved, but network value is overstated and true user count becomes difficult to quantify
Solution Approach 1:
The system implements feedback mechanisms where users receive incentives based on their identity verification behavior. Users who maintain multiple identities receive reduced or no incentives, while users who verify their identity consistently receive enhanced incentives. This feedback loop naturally discourages identity multiplication while maintaining user access flexibility.
Solution Approach 2:
The patent introduces an intermediary verification process between users and network resources. Instead of direct access, users must undergo identity verification through mutual self-disclosure processes with other verified users. This intermediary layer enables the system to distinguish between legitimate multi-user scenarios and fraudulent identity proliferation.
2Quantity of substance
If users maintain multiple identities, then network coverage is expanded, but the relationship between users and network value is weakened
Solution Approach 1:
The system changes the parameter of identity verification status to determine network value allocation. Users are classified into different verification status categories (e.g., verified, partially verified, unverified), and network value is allocated differently based on these status parameters. This creates a reliable correlation between verified user status and network value receipt.
Solution Approach 2:
The incentive structure provides continuous feedback to users about their verification status and its impact on network value. This feedback mechanism strengthens the relationship between users and network value by making it transparent and actionable, encouraging users to maintain verified status rather than relying on multiple unverified identities.
3Reliability
If identity verification processes are implemented, then user authenticity is improved, but system complexity increases
Solution Approach 1:
The verification system is designed to be self-service oriented, where users perform identity verification through mutual self-disclosure processes with other users. Rather than requiring complex centralized verification infrastructure, the system leverages user-to-user verification, significantly reducing system complexity while maintaining high reliability.
Solution Approach 2:
The verification mechanism serves multiple functions simultaneously: it verifies user authenticity, establishes user trust relationships, and allocates network value. This multi-functionality reduces the need for separate complex systems, as a single mutual self-disclosure process achieves multiple verification goals.
4Ease of operation
If incentives are provided for single identity maintenance, then user behavior is improved, but cost to network increases
Solution Approach 1:
The incentive structure uses parameter-based differentiation where the amount of incentive received depends on the user's verification status and behavior parameters. Users who maintain single verified identities receive full incentives, while those with multiple or unverified identities receive reduced incentives. This parameter-based approach ensures cost-effectiveness while maintaining ease of operation.
Solution Approach 2:
The incentive feedback mechanism adjusts resource allocation based on user behavior patterns. The system continuously monitors identity verification behavior and adjusts incentive distribution accordingly, ensuring that network resources are spent efficiently on users who demonstrate authentic single-identity behavior, thereby reducing overall network cost.
Data Source
AI summary
Techniques described herein include techniques for communicating information about the social behavior of users and transactions performed by users on a computer network. In one example, this disclosure describes a method that includes receiving information about identity disclosure activities performed by each of a plurality of users on the network; determining that the information about identity disclosure activities includes information consistent with a prior identity disclosure activity performed by a first user having a first user status on the network; increasing the first user status; determining that the information about identity disclosure activities includes information that is not consistent with a prior identity disclosure activity performed by a second user having a second user status on the network; and decreasing the second user status.