Social Network Analysis via Virtual Thermodynamic Mapping
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Solution Overview
Problem
Analyzing social network data is complex due to intricate user relationships and changing trends, requiring advanced algorithms and being cumbersome for deriving business insights, especially for advertising and promotional activities.
Innovation Solution
A method and system that segregate social networks into user groups, mine data to identify social variables, equate them with thermodynamic variables, and generate a virtual thermodynamic system to analyze social networks, allowing for the determination of quantitative values through thermal states, creating an analogous virtual system for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex algorithms are used to analyze social network data, then analysis depth is improved, but system complexity increases
Solution Approach 1:
The patent introduces a virtual thermodynamic system as an intermediary layer between the social network data and the analysis process. Social variables (users, connections, interactions, affinity, posts) are mapped to thermodynamic variables (molecules, volume, internal energy, pressure, temperature, entropy), creating a mediating framework that simplifies complex social network analysis while maintaining analytical depth
Solution Approach 2:
The patent transforms social network parameters into thermodynamic parameters through the virtual system mapping. By controlling thermal states in the virtual thermodynamic system, the patent determines quantitative values of thermodynamic variables, thereby analyzing social network characteristics without directly dealing with complex social data structures
2Ease of manufacture
If traditional data analysis methods are used, then implementation is straightforward, but ability to derive business insights is insufficient
Solution Approach 1:
The virtual thermodynamic system serves as an intermediary that preserves and transforms business-relevant information from social networks. By mapping social variables to thermodynamic variables, the system maintains implementation simplicity while preventing loss of critical business insights through the analogy-based transformation framework
3Measurement precision
If social network data is analyzed directly, then data accuracy is maintained, but analysis complexity increases
Solution Approach 1:
The patent creates a virtual copy of the social network system using thermodynamic analogies. Instead of analyzing the original complex social network data directly, the patent analyzes a simplified virtual thermodynamic system that copies the essential characteristics and relationships, thereby maintaining data accuracy while reducing analysis complexity
Data Source
AI summary
Disclosed is a method and system for analyzing a social network, the method comprising: segregating, by a processor, the social network into a plurality of groups of users, wherein each group of users has a unique identity in the social network; mining, by the processor, data from a group of users of the plurality of groups of users; identifying a plurality of social variables from the data, wherein the plurality of social variables comprises at least one of a number of users, connections of the users, interactions of the users, affinity of the users, or posts by the users; equating a social variable of the plurality of social variables with a thermodynamic variable of a plurality of thermodynamic variables; determining quantitative values of the plurality of thermodynamic variables based upon the plurality of social variables; generating a virtual thermodynamics system based upon the quantitative values for analyzing the social network.


