Dynamic Node-Link Visualization for Hierarchical Value Distribution Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analyzing and visualizing complex value distributions in hierarchical structures, such as cost distributions among cost centers, is challenging due to recursive and iterative flows, leading to difficulties in tracing expenses and ensuring compliance, as existing solutions provide only partial views and require extensive manual effort.
Innovation Solution
A computing system that transforms static cycle models into dynamic models for efficient visualization, allowing users to interactively adjust the display of value distributions through a graphical user interface, creating a node-link model from hierarchy tables to provide a holistic view of value flows and enable navigation within complex cycle definitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static cycle models are used to represent value distributions, then the model structure is simple and easy to implement, but the system cannot provide interactive visualization and requires extensive manual effort for analysis
Solution Approach 1:
The patent transforms static cycle models into dynamic models that can be interactively manipulated. The system generates dynamic visualizations where users can navigate through value distributions, adjust parameters, and explore recursive relationships in real-time, converting a static representation into an interactive analytical tool.
Solution Approach 2:
The system introduces an intermediary visualization layer between the complex cycle definition data and the user. This intermediary graphical interface translates complex hierarchical value distributions into intuitive visual representations, allowing users to interact with and analyze the data without directly managing its complexity.
2Loss of information
If comprehensive cycle definitions are created to capture all value distributions, then the completeness of value tracing is improved, but the complexity of analysis increases and time consumption increases
Solution Approach 1:
The system segments the complex value distribution analysis into manageable visual components. By breaking down the hierarchical structure into visual elements that can be explored incrementally through interaction, users can comprehend comprehensive value flows without being overwhelmed by the total complexity, reducing analysis time while maintaining completeness.
Solution Approach 2:
The patent adds a visual dimension to value distribution data, transforming tabular or hierarchical representations into graphical formats. This dimensional transformation allows users to perceive complex relationships spatially and intuitively, enabling faster comprehension of comprehensive value distributions without increasing analysis time.
3Measurement precision
If detailed hierarchy tables are generated to show all value flows, then the precision of value distribution tracking is improved, but the difficulty of visualization and navigation increases
Solution Approach 1:
The system employs color coding to represent different aspects of value distributions in the hierarchy table. Colors visually encode information about value flows, relationships, and metrics, allowing users to quickly detect patterns and anomalies without manually examining detailed numerical data, thus maintaining precision while reducing visualization difficulty.
Solution Approach 2:
The patent transforms the detailed hierarchical value distribution data into a visual format that adds spatial and graphical dimensions. This transformation preserves the precision of value tracking while making the data accessible and navigable through intuitive graphical interfaces rather than dense tabular representations.
Data Source
AI summary
A computer-implemented method can receive a hierarchy table comprising a plurality of records associated with objects organized in a hierarchical structure. The records comprise values corresponding to a plurality of displayable fields and specify value distributions among the objects. The method can specify one or more viewable fields at an input area of a graphical user interface, and display a plurality of nodes and a plurality of directional links connecting the displayed nodes on a display window of the graphical user interface. The displayed nodes represent objects whose associated records have unique combinations of values corresponding to the specified viewable fields. The directional links represent value distributions among objects represented by the displayed nodes. The method can display aggregated value distributed to or from objects represented by the displayed nodes. The viewable fields specify which of the displayable fields are visible on the displayed nodes.