Social Media Activity Area Estimation via Public Data
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Solution Overview
Problem
Existing techniques for estimating a user's activity range on social media platforms are limited in effectively utilizing published information to generate beneficial insights, as they primarily focus on friendship-based estimates rather than comprehensive relationship and activity area analysis.
Innovation Solution
An information processing apparatus and method that estimates a user's activity area and relationship with that area based on public information published on social media, incorporating activity area estimation and relationship estimation units to analyze profile, post material, and relationship information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If friendship-based activity range estimation is used, then the estimation can be performed with simple data, but the information utilization is insufficient and beneficial insights cannot be generated
Solution Approach 1:
The patent combines multiple types of social media information (posts, check-ins, friendships, user profiles) into a unified analysis framework. The activity range estimation unit integrates data from diverse sources including public posts, location check-ins, and friendship networks to produce a comprehensive activity range, while the relationship estimation unit simultaneously analyzes the connection between users and locations, thereby fully utilizing available information to generate beneficial insights.
2Loss of information
If comprehensive public information is analyzed, then beneficial information can be generated, but the processing complexity increases
Solution Approach 1:
The patent divides the complex information processing task into distinct functional modules: an activity range estimation unit that determines geographic activity areas, and a relationship estimation unit that analyzes user-location connections. Each module processes specific types of information independently, then integrates results to produce comprehensive outcomes. This segmentation reduces processing complexity while maintaining high information utilization efficiency.
Solution Approach 2:
The patent introduces intermediate processing structures including an activity range estimation unit and relationship estimation unit that act as mediators between raw social media data and final insights. These intermediate units organize and structure diverse information sources (posts, check-ins, friendships) before final analysis, thereby managing processing complexity while enabling comprehensive information utilization.
Data Source
AI summary
The present invention provides an information processing apparatus (1000) including: an activity area estimation unit (1001) that estimates an activity area of a user of an account of social media, based on public information being published on the Internet in association with the account; and a relationship estimation unit (1002) that estimates a relationship between a user of the account and the activity area, based on the public information.