Contextual Graph Force Profile Simulation

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Solution Overview

Problem

Current systems lack an effective method to generate and interact with contextual graphs that accurately represent human associations and relationships, limiting their use as a communication tool for understanding complex concepts.

Innovation Solution

A computer system and methodology that simulates configured behaviors on a graph by applying a physics-based force profile to nodes and links, treating them as particles, allowing for dynamic modification of positions and significance based on user inputs and energy distribution, with forces such as gravity, charge, and spring forces influencing the layout.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a physics-based force profile is applied to nodes and links to simulate configured behaviors, then the visual intuitiveness and interactivity of contextual graphs are improved, but the computational complexity and processing requirements increase

Engineering Contradiction:
Improvevisual intuitivenessVSAvoidcomputational complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces traditional graph layout algorithms with a physics-based simulation system where nodes and links are treated as particles subject to forces such as gravity, charge, and spring forces. This substitution allows the graph to be visually manipulated and animated using physics principles, improving visual intuitiveness and interactivity while managing computational complexity through optimized force calculations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If nodes and links are treated as particles with forces applied to them, then dynamic modification of positions and significance is achieved, but the system complexity and energy management requirements increase

Engineering Contradiction:
Improvedynamic modification capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic behavior by treating graph elements as particles that respond to forces in real-time. Nodes and links can be dynamically repositioned, resized, and reconfigured based on applied forces such as gravity, charge, and spring forces. This dynamic approach allows the contextual graph to adapt to user interactions and data changes while maintaining system manageability through standardized force models.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If significance of nodes is determined by energy collection from links, then the representation of important concepts is enhanced, but the energy calculation and distribution complexity increases

Engineering Contradiction:
Improvesignificance measurement accuracyVSAvoidenergy calculation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses energy as a parameter to represent the significance of nodes in the contextual graph. Each node accumulates energy from connected links, and this energy value determines the node's visual significance, size, and importance. This parameter-based approach provides a precise and intuitive way to measure and display concept importance while managing calculation complexity through efficient energy propagation algorithms.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables the creation of visually intuitive and interactive contextual graphs that convey complex relationships, aiding in understanding and communication by dynamically updating node positions and link lengths, enhancing user interaction and exploration of intricate data structures.

Implementation Method 1

The force-profile can include at least one of the following forces: gravity, charge, centering, radial, positioning, spring, and collision.

Methodology Applied
Scientific EffectGravity: Gravitation

Implementation Method 2

The force-profile can include at least one of the following forces: gravity, charge, centering, radial, positioning, spring, and collision.

Methodology Applied
Scientific EffectSpring force: Spring

Implementation Method 3

The force-profile can include at least one of the following forces: gravity, charge, centering, radial, positioning, spring, and collision.

Methodology Applied
Scientific EffectElectrostatic force: Electrostatics

Implementation Method 4

The energy in the graph flows to and collects at nodes. The significance of a particular node can be based on the collection of energy at that particular node.

Methodology Applied
Scientific EffectEnergy flow and accumulation:

Data Source

PatentUS20240152554A1System and methods for generating contextual graphs and integrated uses thereof
Publication Date: 2024.05.09 HOWES SAMUEL
  • US20240152554A1 patent drawing
  • US20240152554A1 patent drawing
  • US20240152554A1 patent drawing

AI summary

A computer system for generating contextual graphs, revolutionizing information visualization and comprehension is disclosed herein. This system combines a user-friendly graphical user interface, a computing device, and a force-profile to craft intuitive, interactive contextual graphs. Users input concepts or terms, transformed into nodes, and define relationships between them, realized as links. The force-profile may influence the positioning, size, and significance of nodes and links, offering an engaging visualization experience. The system may allow users to explore paths, fostering an understanding of complex associations. Furthermore, the system may identify gaps and anomalies in graphs, encouraging comprehensive data exploration. In short, the computer system and methodologies disclosed herein may empower users to communicate and convey thoughts through dynamic, interactive contextual graphs, transcending conventional information representation.