Dynamic Social Network for Athletic Skill Quantification
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Solution Overview
Problem
Current social networking applications for athletes lack real-time updates, multi-directional relationships, and comprehensive data integration for athletic skills and competitive results, with existing platforms providing static, one-dimensional data that is not easily accessible or up-to-date, especially for amateur athletes.
Innovation Solution
A social network system that allows users to create a dynamic sport graph, connecting athletes, coaches, and fans, with the ability to input and aggregate competition data, display rankings and records over time, and calculate degrees of separation between athletes, enabling comprehensive tracking and analysis of athletic skills and competitive levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static data files are used to store athletic data, then data storage is simple and reliable, but data accessibility and real-time updates are poor
Solution Approach 1:
The patent transforms static data files into a dynamic social network platform where data is continuously updated in real-time. The system automatically retrieves and updates athletic data from multiple sources, maintains live rankings, and provides real-time notifications, converting static storage into a dynamic, always-updated information hub that remains reliable while being easily accessible.
Solution Approach 2:
The patent replaces the mechanical manual process of accessing data through static files with an automated electronic system. The platform automatically queries multiple data sources, processes information, updates records, and delivers notifications without manual intervention, substituting mechanical data retrieval with automated digital processes that improve both accessibility and reliability.
2Device complexity
If data is stored in separate silos across different platforms, then each platform can maintain simple data structures, but comprehensive data integration becomes difficult
Solution Approach 1:
The patent merges data from multiple separate silos (USTA, local associations, tournaments, competitions) into a single integrated social network platform. The system consolidates athletic data, rankings, records, and competition information that were previously scattered across different websites and databases into one unified profile for each athlete, maintaining structural simplicity while achieving comprehensive data integration.
Solution Approach 2:
The patent creates a universal platform that serves multiple functions: storing athletic data, maintaining rankings, tracking records, providing notifications, and enabling social connections. This multi-functional system replaces the need for separate specialized platforms, achieving comprehensive data integration while keeping each function relatively simple through a unified architecture.
3Device complexity
If one-dimensional data is provided for individual players, then data presentation is simple, but comprehensive analysis across multiple players and relationships is limited
Solution Approach 1:
The patent adds multiple dimensions to athlete data presentation by incorporating social network relationships, competition histories, rankings across different divisions, and multi-directional connections. Instead of showing only one-dimensional individual player stats, the system displays layered information including direct competitors, teammates, coaches, and historical performance data, enabling comprehensive multi-player analysis while maintaining organized, simple presentation through structured interfaces.
4Measurement precision
If manual data entry is required for competition records, then data accuracy can be controlled, but time consumption and labor requirements increase
Solution Approach 1:
The patent implements self-service data collection where the system automatically retrieves competition data from multiple sources without requiring manual entry. The platform queries tournament results, competition records, and athletic data automatically, processes the information, and updates athlete profiles in real-time, eliminating time-consuming manual data entry while maintaining high accuracy through automated verification and multiple data source cross-checking.
Data Source
AI summary
A method of quantifying and qualifying athletic skills and competitive data in a social network implemented on a client computing device having one or more processors and memory for storing one or more programs to be executed by the processors comprising registering a first user with the social network and creating a first user account; establishing a user profile for the first user; searching at least one remote database for at least one of skills, ratings and competition data relating to the first user, and if found, retrieving the at least one of skills data, ratings data and competition data and adding the data to the first user account in a social network database; displaying predetermined information from the first user account on the client computing device; and creating a connection list for the first user that comprises at least one other user.