Enterprise People Relationship Network Map Visualization
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Solution Overview
Problem
Users in a workplace find it difficult to contextualize and identify people's relationships across multiple workloads, as existing services struggle to provide an overview of both explicit and implicit connections.
Innovation Solution
A system that maps an individual's implicit and explicit people relationships across multiple workloads, using a network map to visually display connections, allowing navigation and highlighting commonalities, with trending items and activity streams integrated for better understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional enterprise search or address book services are used to view individual activities, then specific workload information can be accessed, but it is difficult to get an overview of people relationships across multiple workloads
Solution Approach 1:
The patent segments the complex network of people relationships into different types (explicit organizational relationships and implicit activity-based relationships) and displays them as separate but complementary views in the network map. This allows users to understand different aspects of relationships without being overwhelmed by the full complexity at once.
Solution Approach 2:
The patent merges data from multiple workloads and information sources into a unified network map view that displays people relationships across the entire enterprise. This integration consolidates what would otherwise require accessing multiple separate systems into a single comprehensive visualization.
2Loss of information
If comprehensive relationship data is displayed, then contextual awareness is improved, but the complexity of the display increases
Solution Approach 1:
The network map is designed to be dynamic and interactive, allowing users to navigate, filter, and explore relationships at different levels of detail. Users can start with a high-level overview and drill down into specific relationship types or individuals, adjusting the display complexity according to their immediate needs.
Solution Approach 2:
The patent adds visual dimensions to represent different types of relationships (explicit vs. implicit) and different levels of connection strength. This multi-dimensional visualization allows comprehensive information to be presented in an intuitive spatial format rather than a flat, overwhelming list.
3Loss of information
If navigation across multiple workloads is enabled, then relationship overview is improved, but the difficulty of detecting and measuring relationships increases
Solution Approach 1:
The patent replaces manual analysis of relationships with automated computational methods that calculate implicit relationships based on activity data. The system automatically detects patterns in communication, collaboration, and interaction across workloads to identify and visualize implicit relationships without requiring users to manually analyze each connection.
Data Source
AI summary
A network map of an individual's implicit and explicit people relationships across multiple workloads is provided. Relationships between people may be leveraged and ranking for people relationships may be performed based on activities across multiple workloads. People relationships may be displayed in the network map to provide a visual understanding of relationships and connections. Navigation to any person represented in the network map may be enabled, and commonalities in relationships between a navigating user and a given person navigated to in the network map may be exposed. Trending items and activity streams for a person or group of persons may be shown in the network map.