Community Interest Network with Tiered Structure
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Solution Overview
Problem
Social networks lack mechanisms for users to connect based on shared interests, limiting the ability to identify and interact with others who have common hobbies or passions.
Innovation Solution
A community interest network is developed, allowing users to create accounts based on interests, forming groups and connections within a tiered structure that facilitates navigation and interaction based on geographic and interest-based classifications, using a platform with user and group modules for account management and social tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search and request connections in traditional social networks, then connections can be established between users, but the process is time-consuming and lacks efficiency in finding users with common interests
Solution Approach 1:
Users pre-define their interests and preferences in their profiles before needing to connect with others. The system pre-processes this information to enable automatic matching, eliminating the need for manual searching and connection requests at the moment of interaction.
Solution Approach 2:
The system automatically matches users with common interests based on their profile information without requiring manual intervention. The matching algorithm self-services by continuously analyzing user data and proposing connections, reducing both time loss and improving connection efficiency.
2Adaptability or versatility
If traditional social networks focus on user profiles and direct connections, then user interaction is enabled, but the ability to connect based on shared interests is limited or non-existent
Solution Approach 1:
The network is segmented into multiple dimensions including user profiles, interest categories, and connection types. This segmentation allows the system to handle interest-based matching separately from traditional friend connections, adding versatility without overwhelming complexity.
Solution Approach 2:
The system design enables the network to serve multiple functions: traditional user connections, interest-based matching, and automated recommendation. This multi-functionality approach allows interest-based connections to be integrated into the existing social network framework rather than requiring a completely separate system.
3Ease of operation
If users manually establish connections by searching and requesting friendships, then direct user connections are formed, but the process lacks automation and user experience is degraded
Solution Approach 1:
An automated matching system acts as an intermediary between users, analyzing their profiles and interests to propose connections. This intermediary function simplifies the user experience by pre-processing the matching logic while maintaining user control over final connection decisions.
Solution Approach 2:
The system performs preliminary analysis of user interests and compatibility before users need to take action. By pre-calculating potential matches based on defined criteria, the system reduces the operational burden on users while implementing substantial automation in the background.
Data Source
AI summary
Various embodiments of the present invention provide systems, methods, and computer program products for providing a community interest network that is developed on a societal relationship platform. In various embodiments, the platform is based on a collection of online, virtualized social communities oriented around interests. Further, in various embodiments, the community interest network includes a directory structure that is hierarchical and is built on a number of interest accounts tied to a specific tier structure (e.g., tier classification).