Friend Connector Module for Social Network Expansion
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Solution Overview
Problem
Social network sites lack effective mechanisms to facilitate connections between users who have not yet interacted, limiting the growth and diversity of user networks.
Innovation Solution
The implementation of a friend connector module that suggests contact pairs from a user's contact list who have not yet connected, allowing the owner to invite both contacts to connect, thereby expanding their network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually connect friends in social networks, then connection accuracy is improved, but time consumption increases
Solution Approach 1:
The system automatically identifies and suggests contact pairs who should be connected based on mutual friends and contact lists, enabling the network to self-optimize connections without manual intervention. The algorithm autonomously analyzes contact relationships and generates connection suggestions.
Solution Approach 2:
The system provides feedback to users by displaying suggested contact pairs and their connection potential, allowing users to review and accept or reject suggestions. This feedback loop combines automated analysis with user confirmation to achieve both efficiency and accuracy.
2Productivity
If the friend connector module suggests more contact pairs, then network growth is improved, but system complexity increases
Solution Approach 1:
The system segments the contact list into manageable pairs and processes suggestions in batches. By dividing the overall connection task into discrete contact pairs with mutual friends, the system handles complexity in small, organized units rather than attempting to process all contacts simultaneously.
Solution Approach 2:
The system generates a subset of suggested contact pairs based on predefined criteria (mutual friends, contact list overlaps) rather than exhaustively analyzing all possible connections. This partial action approach achieves network growth through high-probability connections without the computational burden of complete analysis.
3Reliability
If users invite both contacts to connect, then connection success rate is improved, but user interaction complexity increases
Solution Approach 1:
The system acts as an intermediary by pre-processing connection suggestions and presenting them to users in an organized format. The friend connector module mediates between the complex backend analysis and simple user interaction, translating computational results into user-friendly suggestions that require minimal input.
Data Source
AI summary
Disclosed is a social networking system which provides personal pages for users and enables other users to modify the personal page of a given user. Generally, a given webpage is enabled to be collaboratively modified and edited by multiple users. In some embodiments, the owner of the personal page approves the trusted users and may define one or more rules that automatically define a trusted user. In some embodiments, rules for modifying/editing a social webpage may specify the type of operations users can perform on the page and may specify one or more potential target actions.