Social Map Post Aggregation for Graduated Visualization

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Solution Overview

Problem

Existing social networking systems fail to effectively display user-generated posts in relation to geographic locations, leading to fragmented content availability and quality, and lack the ability to present this information in a digestible manner.

Innovation Solution

A system and method for location-based social networking that allows users to submit social media posts with graphical symbols representing emotional states, which are aggregated and displayed based on screen attributes, using graduated visualization levels to adjust density and representation types dynamically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If all user-generated social media posts are displayed individually on a map, then complete information availability is achieved, but the system becomes overwhelming and difficult to navigate due to the large volume of posts

Engineering Contradiction:
Improveinformation availabilityVSAvoid navigability
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent combines multiple individual social media posts into aggregated visual clusters represented by emojis or symbols on the map. Each aggregated symbol represents multiple posts grouped by location and emotional sentiment, allowing users to view comprehensive information without being overwhelmed by individual post details. This merging approach maintains information availability while dramatically improving navigability.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent segments the display information into hierarchical levels: aggregated emoji/symbol representations at the overview level, and individual post details accessible through interaction. This segmentation allows users to navigate the map efficiently at the aggregated level and access complete information on demand, resolving the contradiction between information completeness and ease of navigation.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If detailed information from all social media posts is displayed, then complete content quality is achieved, but the display becomes cluttered and loses clarity

Engineering Contradiction:
Improvecontent qualityVSAvoiddisplay clarity
Core Design Contradiction:
Loss of informationVSShape

Solution Approach 1:

The patent applies different levels of detail to different regions of the display based on user interaction and zoom level. Aggregated symbols provide a clean overview for broad areas, while individual post details are revealed locally when users interact with specific regions. This local quality approach maintains display clarity while preserving access to complete content quality when needed.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If the system adapts visualization to different screen sizes, then versatility across devices is improved, but the complexity of the display system increases

Engineering Contradiction:
Improvedevice compatibilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic visualization that automatically adapts to different screen sizes and device types. The system adjusts the density and scale of aggregated symbols based on available display space, providing optimal visualization for smartphones, tablets, and desktops without requiring separate systems. This dynamic adaptation achieves high versatility while managing complexity through automated responsive design.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260064709A1System and method for aggregation and graduated visualization of user generated social post on a social mapping network
Publication Date: 2026.03.05 YOU MAP INC
  • US20260064709A1 patent drawing
  • US20260064709A1 patent drawing
  • US20260064709A1 patent drawing

AI summary

A system and method for location-based social networking, including: a social mapping module executing on a computer processor and configured to enable the computer processor to receive, from a client device, a request for social media posts, wherein the request comprises location information and screen attribute information associated with a display of the client device; identify a candidate set of social media posts based at least on the location information; determine a graduated visualization level from a plurality of predetermined graduated visualization levels based on the screen attribute information, wherein each graduated visualization level corresponds to a different aggregation density and symbol representation type; generate an aggregated group comprising a subset of the candidate set of social media posts using grouping criteria that varies based on the determined graduated visualization level; and provide an aggregated graphical symbol to the client device for display.