Network Persona Identity Correlation Across Multiple Accounts

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

In online environments, it is challenging to identify and manage the relationships between different user accounts, especially when users maintain multiple profiles (public, private, professional) and author various content types, as existing systems struggle to accurately correlate authorship across diverse accounts and content characteristics.

Innovation Solution

A computer system observes properties of content from multiple accounts to create a network persona by correlating associations based on shared properties, allowing users to manage and share these personas with specified users, including third-party accounts, using a flexible identity management system that includes multiple correlation mechanisms and confidence levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users maintain multiple profiles (public, private, professional) across different accounts, then users can express different aspects of their identity and control privacy, but it becomes difficult to accurately identify and manage relationships between these accounts

Engineering Contradiction:
Improveidentity expression flexibilityVSAvoidaccount relationship management
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a persona as an intermediary construct that mediates between multiple user accounts. The persona aggregates content and characteristics from multiple accounts (personal, professional, third-party) and presents a unified representation. This intermediary layer simplifies the complexity of managing relationships between multiple accounts while preserving the adaptability of identity expression across different contexts.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If users have multiple accounts with different profiles, then privacy control is improved, but it becomes challenging to accurately correlate authorship across diverse accounts and content characteristics

Engineering Contradiction:
Improveprivacy controlVSAvoidauthorship correlation accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent segments the identity management system into distinct components: multiple user accounts with different privacy levels, a persona construct that aggregates these accounts, and controlled sharing mechanisms. This segmentation allows precise control over which accounts contribute to which personas and with whom, while maintaining the ability to accurately trace authorship back to specific accounts through the structured persona framework.

Inventive Principle:
Principle #1Segmentation

3Productivity

If a system aggregates information from multiple accounts into a unified persona, then identity management becomes more efficient, but user control over sharing specific persona information may be reduced

Engineering Contradiction:
Improveidentity management efficiencyVSAvoiduser control flexibility
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent implements dynamic control mechanisms where users can adjust sharing permissions for their personas in real-time. The system allows users to specify different sharing settings for different personas and different target audiences, enabling flexible control that adapts to various contexts. This dynamic approach maintains user control flexibility while preserving the efficiency benefits of aggregated persona information.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS8924545B2Cross-property identity management
Publication Date: 2014.12.30 MICROSOFT TECHNOLOGY LICENSING LLC
  • US8924545B2 patent drawing
  • US8924545B2 patent drawing
  • US8924545B2 patent drawing

AI summary

Embodiments are directed to creating a persona from observed characteristics of content and to sharing a network persona derived from observed characteristics of content. In one scenario, a computer system observes one set of properties for a first portion of content on a network. The first portion of content is from a first account. The computer system also observes a different set of properties for a second portion of content on the network, where the second portion of content is from a second account. The computer system then correlates an association between the first account and the second account as part of a network persona that is based on the first properties and one or more corresponding properties from the second portion of content.