A cross-field empathy co-creation co-growth content ecology and value closed loop construction method and system based on a honeycomb distributed architecture
Patent Information
- Application Number
- CN202610359832.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-23
- Publication Date
- 2026-10-13
AI Technical Summary
均为中心化、单向灌输式运营结构,内容与用户真实需求脱节,用户粘性弱、传播效率低、沉没成本高;
一套技术架构可直接迁移至企业管理、职业教育、心理康养、家庭教育、新零售、文创、科创等领域,具备极强扩展性与反脆弱性。
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Abstract
Description
1. Technical Field This invention relates to the fields of internet content operation, distributed user collaboration, cross-domain education services, digital content generation, community intelligent operation and maintenance, and commercial value closed-loop construction. Specifically, it provides a method and system for constructing a cross-domain empathetic, co-creative, and co-growing content ecosystem and value closed loop based on a honeycomb distributed architecture. This method and system can be widely applied in fields such as enterprise management, vocational skills education, mental health services, health and fitness, family education, new retail services, cultural and creative tourism, science and technology incubation, and workplace psychological empowerment. 2. Background Technology Existing content production, education services, IP operation, and business community models generally suffer from the following technical deficiencies: Both are centralized, one-way dissemination-style operation structures, resulting in content that is out of touch with users' real needs, weak user stickiness, low dissemination efficiency, and high sunk costs; The co-creation model only stays at the level of simple solicitation, lacking emotional empathy and a flat, distributed collaborative mechanism, thus failing to achieve deep participation and co-growth. The operating system is highly tied to the application scenarios, making it impossible to migrate and reuse across domains. A mature architecture can only be used in a single industry, resulting in extremely poor scalability and antifragility. Content, courses, services, books, and digital products are fragmented and fail to form an integrated value loop, resulting in low operational efficiency and weak risk resistance. The lack of universal technical standards and system architecture across various fields makes it impossible to achieve unified deployment in scenarios such as enterprise management, education, psychology, health and wellness, family, cultural and creative industries, and scientific and technological innovation.
[0001] Currently, there is no universal, distributed, empathy-driven, co-creation and co-growth integrated technical solution that is applicable across multiple domains, and there is a significant technological gap. 3. Summary of the Invention 3.1 Purpose of the Invention Overcoming the limitations of existing technologies, this paper provides a cross-domain, decentralized, flat, empathy-driven, honeycomb-style co-creation and co-growth method and system. It enables reuse and deployment in multiple fields such as enterprise management, vocational education, mental health care, family education, new retail, cultural and creative tourism, and science and technology incubation. It builds a highly sticky, anti-fragile, and automatically iterative content ecosystem and value loop, improves operational efficiency, reduces costs, and achieves multi-party co-growth.
[0002] 3.2 Technical Solution A method and system for constructing a cross-domain content ecosystem and value loop based on a honeycomb distributed architecture, comprising the following steps: S1. Cross-domain empathy node recruitment and user data collection Based on the scenario characteristics of the target application domain, we launched a flat empathy recruitment, collected user emotion tags and domain-specific demand data, and established a distributed honeycomb user node library. S2. Two-dimensional data clustering and co-creation topic voting User data is clustered based on sentiment and domain needs. The content theme, service modules, course framework, product structure, and book / publication structure are determined by online voting from the honeycomb nodes. S3. Honeycomb Interactive Content and Service Generation With domain expertise as the core support, combined with the content and cases contributed by the Hive nodes, we generate non-indoctrination-style, empathetic interactive content and service solutions, and trace and label the node contributions. S4. Collaborative Development of Modular Products and Curricula Based on the voting results, modular division is carried out to build a standardized unit structure. Based on the feedback from the honeycomb nodes, real-time iterative optimization is performed to form reusable courses, service packages, and digital products. S5. Cross-platform collaborative content creation and accumulation Integrate empathy case studies, co-creation methods, and professional experience from various nodes to simultaneously complete the collaborative compilation of multiple content formats, including text, books, audio and video, and manuals, and establish a mechanism for attribution and traceability of co-creation contributions; S6. Honeycomb-style flat community distributed operation and maintenance Build a flat community network without a centralized authority, and carry out periodic activities such as empathetic interaction, theme co-creation, and demand iteration to maintain node activity and ecosystem stability; S7. Building a Value Loop for Cross-Domain Co-Growth Based on the ecological achievements, commercial transformation and social value output are achieved, and rights such as attribution, product usage rights, honors, and revenue incentives are allocated to core hive nodes, forming a continuous iterative closed loop of multi-party co-growth and anti-fragility.
[0003] This invention also discloses a method and system for constructing a cross-domain empathy, co-creation, and co-growth content ecosystem and value loop based on a honeycomb distributed architecture to implement the above method, including: Cross-domain empathy data acquisition module, two-dimensional intelligent clustering module, honeycomb node voting management module, interactive content service generation module, modular product development module, multi-carrier collaborative compilation module, honeycomb community distributed operation and maintenance module, co-growth value distribution and closed-loop module. 3.3 Beneficial Effects a) Cross-domain general reusability A single technical architecture can be directly migrated to fields such as enterprise management, vocational education, mental health care, family education, new retail, cultural and creative industries, and scientific and technological innovation, possessing strong scalability and antifragility.
[0004] b) Hive Distributed Antifragile Architecture Decentralized, flat collaboration ensures that single-point failures do not affect the overall ecosystem, significantly enhancing resilience against platform risks and market volatility.
[0005] c) Empathy drives deep stickiness By leveraging emotional resonance, users transform from consumers into co-creators, spontaneously spreading information and actively participating, resulting in a significant increase in user engagement and conversion rates.
[0006] d) Integrated and efficient generation Content, courses, services, products, and books are produced simultaneously across multiple platforms, avoiding duplication of effort and significantly reducing sunk costs in creation and operation.
[0007] e) Non-indoctrination-based interactive innovation Completely abandoning the authoritative preaching model, it achieves equal co-creation, with content and services highly aligned with real needs, and is extremely replicable and practical.
[0008] f) Can support international patent layout The technical solution possesses international novelty and can obtain protection in multiple countries around the world through the PCT route, achieving cross-domain and cross-border intellectual property rights. 4. Description of the attached drawings Figure 1 is an overall flowchart of the cross-domain empathy, co-creation, and co-growth method of the present invention; Figure 2 is a schematic diagram of the two-dimensional data clustering and topic voting logic of the present invention; Figure 3 is a structural diagram of the standardized unit of the modular product / course of this invention; Figure 4 is a diagram of the cross-domain honeycomb distributed operation system architecture of the present invention. 5. Detailed Implementation Example 1: Application in Enterprise Management S1: Collect data on the emotions and management pain points of enterprise managers, such as loneliness, anxiety, and operational pressure; S2: Clustering team management, business breakthroughs, risk control, and other needs, the course and book framework were determined by voting; S3: Co-create practical management content and highlight fan case studies; S4: Modular R&D Management Courses and Toolkits; S5: Collaborate on the writing of management books; S6: Flattened operations and maintenance management team co-creating community; S7: Achieve a closed loop of value creation through consulting, courses, and publishing.
[0009] Example 2: Application in Vocational Education and Skills Training S1: Collect data on learners' learning anxiety, employment pressure, and skill gaps; S2: Clustering skill needs and emotional pain points, voting to determine training content; S3: Co-creating Practical Skill Content S4: Modular R&D Skills Course; S5: Compile teaching materials and practical training manuals; S6: Operations and Maintenance Trainees Co-create Community; S7: Achieve a closed loop of value in training, employment, and certification.
[0010] Example 3: Applications in the field of mental health and emotional guidance S1: Collect emotional data such as anxiety, depression, stress, and internal conflict; S2: Clustering and channeling needs, voting to determine the channeling content and courses; S3: Co-create emotional healing content; S4: Modular development of psychological courses and healing packages; S5: Compile books on psychological growth; S6: An Empathic Community for Operations and Security; S7: Achieve a closed loop of value in psychological services, courses, and community.
[0011] Example 4: Application in the fields of health and wellness management S1: Collect users' health anxieties, wellness questions, and exercise pain points; S2: Cluster health and wellness needs, and vote to determine health / fitness content; S3: Co-creating health solutions; S4: Modular development of health and wellness courses and recipes / exercise plans; S5: Compiling health books; S6: Operations and Maintenance Health Co-creation Community; S7: Achieve a closed loop of products, courses, and services.
[0012] Example 5: Application in the field of family education and parent-child growth S1: Collect information on parents' educational anxieties, parent-child conflicts, and parenting dilemmas; S2: Cluster educational needs and vote to determine parenting content; S3: Co-creating family education methods; S4: Modular development of parent courses; S5: Compile books on family education; S6: Operations and Maintenance Parent Empathy Community; S7: Achieve a closed loop of courses, consultations, and training camps.
[0013] Example 6: Applications in the New Retail / Brick-and-Mortar Business Sector S1: Collect data on merchants' anxieties about business operations, customers' pain points, and operational challenges; S2: Clustering operational requirements, voting to determine operational methods; S3: Co-create store operation solutions; S4: Modular R&D and Operations Courses and Tools; S5: Compile a practical guide; S6: Community co-created by operations and maintenance vendors; S7: Achieve a closed loop of supply chain, training, and consulting.
[0014] Example 7: Cultural and Creative Industries, Tourism, and Science and Technology Incubation The honeycomb empathy and co-creation architecture of this invention is uniformly adopted to complete content co-creation, product development, community operation, and value loop, achieving standardized replication across fields.
[0015] Example 8 System Implementation A method and system for constructing a cross-domain content ecosystem and value loop based on a honeycomb distributed architecture, including: The system includes a cross-domain empathy data collection module, a two-dimensional intelligent clustering module, a honeycomb node voting management module, an interactive content service generation module, a modular product development module, a multi-carrier collaborative compilation module, a honeycomb community distributed operation and maintenance module, and a co-growth value distribution and closed-loop module. Each module works together to execute the method of any of the above embodiments.
[0016] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method and system for constructing a cross-domain content ecosystem and value loop based on a honeycomb distributed architecture, characterized in that: Includes the following steps: S1. Cross-domain empathy node recruitment and user data collection: Based on the scenario characteristics of the target application domain, initiate flat empathy recruitment, collect user emotion tags and domain-specific demand data, and establish a distributed honeycomb user node library; S2. Two-dimensional data clustering and co-creation theme voting: Two-dimensional clustering analysis of the collected user data is performed on the sentiment dimension and the domain demand dimension. The content theme, service module, course framework, product structure and publication structure are determined by online voting by the honeycomb nodes. S3. Hive-style interactive content and service generation: Based on domain expertise, combined with content contributed by hive nodes and real-world cases, generate non-indoctrination, empathy-oriented interactive content and service solutions, and trace and label the contributions of nodes. S4. Modular product and curriculum collaborative development: Based on the voting results, modularize and decompose the products to build a standardized unit structure. Based on the feedback from the honeycomb nodes, iterate and optimize in real time to form a reusable curriculum system, service package and digital product. S5. Cross-media collaborative content compilation and accumulation: Integrate empathy case studies, co-creation methods and domain professional experience to simultaneously complete the collaborative compilation of multiple forms of content, including text, books, audio and video, and manuals, and establish a mechanism for attribution and traceability of co-creation contributions; S6. Hive-style flat community distributed operation and maintenance: Build a flat community network without a centralized authority, execute periodic empathetic interaction, theme co-creation, and demand iteration activities, and maintain the activity of hive nodes and the stability of the ecosystem; S7. Building a Value Loop for Cross-Domain Co-Growth: Based on the results of ecosystem operation, commercial transformation and social value output are achieved, and authorship, product usage rights, honorary incentives and revenue rights are allocated to core hive nodes to form a closed loop of multi-party co-growth, anti-fragile and continuous iteration.
2. The method according to claim 1, characterized in that, The target application areas include at least one of the following: business management, vocational skills education, mental health services, health and wellness, family education, new retail operations, cultural and creative tourism, science and technology incubation, and workplace psychological empowerment.
3. The method according to claim 1, characterized in that, The empathy node recruitment described in step S1 adopts an expression logic that prioritizes emotion and postpones professionalism. The initiator and the hive node are equal partners, and no centralized authority role is established.
4. The method according to claim 1, characterized in that, The emotional dimensions mentioned in step S2 include: anxiety, loneliness, stress, resentment, confusion, internal conflict, and bewilderment; the domain demand dimensions are dynamically adapted according to the application scenario.
5. The method according to claim 1, characterized in that, The non-indoctrination interactive content structure described in step S3 is as follows: empathic opening → real-world case studies → co-creation solutions → invitation to co-create the next issue, without one-way didactic information output.
6. The method according to claim 1, characterized in that, The standardized unit structure described in step S4 includes: empathy introduction unit, demand decomposition unit, co-creation method unit, and co-growth incentive unit.
7. The method according to claim 1, characterized in that, The cross-media collaborative compilation described in step S5 supports the simultaneous generation of: short videos, graphic columns, system courses, paper / electronic books, industry manuals, and toolkits.
8. The method according to claim 1, characterized in that, The flat community operation and maintenance described in step S6 includes fixed-cycle activities: empathy exchange nights, themed co-creation workshops, and requirement iteration voting meetings.
9. A method and system for constructing a cross-domain content ecosystem and value loop based on a honeycomb distributed architecture, characterized in that: include: The system comprises a cross-domain empathy data acquisition module, a two-dimensional intelligent clustering module, a honeycomb node voting management module, an interactive content service generation module, a modular product development module, a multi-carrier collaborative compilation module, a honeycomb community distributed operation and maintenance module, and a co-growth value distribution and closed-loop module; the system is used to execute the steps of the method described in any one of claims 1 to 8.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements all the steps of the method according to any one of claims 1 to 8.