Social Network Topology for Behavior Diffusion
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Solution Overview
Problem
Existing social networks struggle to effectively promote desired behaviors among anonymous online communities, as broadcast messages often lack relevance and fail to influence decision-making, and conventional techniques like chat groups and forums do not allow controlled interaction to foster behavior adoption.
Innovation Solution
Creating a structured social network with a pre-specified topology and architecture that assigns users to nodes to facilitate the spread of desired behaviors, using a set of nodes and edges to communicate actions between users, optimizing neighborhood sizes and network parameters to promote behavior diffusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If broadcast messages are used to promote desired behaviors, then reach is improved, but relevance and influence on decision-making deteriorate
Solution Approach 1:
The patent segments the audience into distinct neighborhoods based on social ties and interaction patterns. Instead of broadcasting to everyone uniformly, the system divides the network into localized communities (nodes) with specific characteristics, allowing targeted promotion within each segment. This resolves the contradiction by maintaining broad reach through multiple segments while improving relevance through localized targeting.
Solution Approach 2:
The patent implements local quality by creating neighborhoods with distinct social structures, interaction patterns, and member characteristics. Each neighborhood is designed with specific properties (e.g., degree distribution, clustering coefficient) that make it suitable for particular types of behavior promotion. This allows the system to maintain overall reach while delivering highly relevant messages to each local community.
2Ease of operation
If conventional chat groups and forums are used, then community interaction is enabled, but controlled interaction to foster behavior adoption is lost
Solution Approach 1:
The patent applies preliminary action by pre-configuring the network architecture before users join. The system pre-establishes neighborhood structures, connection patterns, and interaction protocols based on desired behavior models. This allows the system to maintain ease of operation for users while embedding controlled interaction structures that foster specific behaviors, resolving the contradiction between freedom of interaction and structured guidance.
Solution Approach 2:
The patent introduces the network architecture itself as an intermediary between users and the promotion goals. This intermediary layer (the structured network of nodes and edges) mediates interactions to ensure they align with desired behaviors while maintaining user-friendly operation. The architecture acts as a silent guide that shapes interactions without requiring complex user intervention.
3Productivity
If anonymous users are assigned to nodes in a structured network, then behavior diffusion is facilitated, but user anonymity and freedom are compromised
Solution Approach 1:
The patent implements self-service by allowing users to naturally claim nodes and establish connections based on their own social ties and preferences. Users actively participate in shaping their network positions rather than being passively assigned roles. This maintains user freedom and anonymity while still achieving structured behavior diffusion, as the structure emerges from user choices rather than imposed constraints.
Solution Approach 2:
The patent applies dynamics by making the network architecture flexible and adaptive rather than rigid and fixed. Users can dynamically join, leave, or reposition themselves within the network based on changing circumstances. The architecture accommodates this dynamic behavior while maintaining the benefits of structured interaction for behavior diffusion, resolving the contradiction between structural control and user freedom.
Data Source
AI summary
A method of creating social networks designed to facilitate diffusion of desired behavior among groups of people. A social network may be created prior to assigning people to nodes in the network. Communications between people in the network may be controlled and modified to promote diffusion of the desired behavior.