Collaborative Effort Complexity Calculation System
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Solution Overview
Problem
Existing methods lack an effective way to quantify and manage the complexity of collaborative efforts involving multiple social actors across different locations and contexts, leading to inefficiencies in coordination and increased coordinative work.
Innovation Solution
A system and method that calculates the coordination complexity (G) using a formula that considers differences in dimensions such as location, language, nationality, and interdependency among social actors, represented as nodes and edges in a graph, allowing for the identification of areas requiring reduced coordinative work through data processing and algorithmic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collaborative effort involves multiple social actors across different locations and contexts, then the scope and capability of the collaborative effort is improved, but the coordination complexity increases
Solution Approach 1:
The patent applies parameter changes by quantifying coordination complexity through a mathematical formula that calculates the sum of differences across multiple dimensions (location, language, nationality, interdependency). This transforms the abstract concept of coordination complexity into a measurable parameter G, allowing for systematic analysis and management of collaborative efforts involving multiple social actors across different contexts.
2Adaptability or versatility
If collaborative effort involves multiple social actors across different locations and contexts, then the scope and capability of the collaborative effort is improved, but the coordinative work required increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically calculate and identify coordination complexity without manual intervention. The processor automatically computes the complexity metric G using the provided formula, identifies dimensions contributing to complexity, and suggests optimizations, thereby reducing the time and effort required for coordination management in multi-actor collaborative efforts.
3Measurement precision
If the coordination complexity is calculated using multiple dimensions, then the precision of complexity measurement is improved, but the computational effort increases
Solution Approach 1:
The patent applies segmentation by breaking down the coordination complexity calculation into distinct dimensional components (location, language, nationality, interdependency). Each dimension is evaluated separately by calculating the sum of differences between social actors on that specific dimension, and the total complexity G is obtained by summing these dimensional contributions. This segmented approach improves measurement precision while making the computational process more manageable and efficient.
Data Source
AI summary
A method of determining the complexity of a collaborative effort which method includes receiving data via a processor, the data including identities of social actors or sets of social actors in the collaborative effort, and storing the data in a repository accessible by the processor; defining nodes, via the processor, and associating the nodes with each of the social actors of or with each of the sets of social actors in the collaborative effort to define nodes that represent each of the social actors or each of the sets of social actors; identifying, via the processor, one or more dimensions for each social actor; defining a coordination complexity (G), via the processor, and determining, for each dimension, a sum of a difference between every two of the nodes, multiplying the sum by a weight specific for that dimension, and adding each of the multiplied sums for each dimension. In another aspect, the invention includes a system of determining complexity of a collaborative effort.