Social network content propagation optimization method based on interest development stage and system thereof

By constructing a heterogeneous social topology graph, identifying and dynamically updating propagation barriers in social networks, and optimizing cross-community propagation paths, the problems of insufficient propagation depth and resource waste in existing technologies are solved, achieving more efficient content dissemination.

CN122415079APending Publication Date: 2026-07-17BEIJING INFORMATION SCI & TECH UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INFORMATION SCI & TECH UNIV
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately determine the difference between 'apparently propagable' and 'actually propagable' in social networks, resulting in insufficient cross-community propagation depth, low penetration rate in target communities, and inefficient resource utilization.

Method used

By constructing a heterogeneous social topology graph, identifying candidate boundary nodes, calculating local propagation reachability and mapping it to blockage probability, dynamically updating propagation blockage zones, reconstructing cross-community propagation paths, and optimizing content push strategies.

Benefits of technology

It improves the accuracy and stability of cross-community dissemination, enhances resource utilization efficiency, and ensures that content can effectively enter and spread within the target community.

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Abstract

本发明公开了基于兴趣发展阶段的社交网络内容传播优化方法及其系统,涉及网络内容传播技术领域。方法包括:基于异质社交拓扑图进行社区划分并识别边界候选节点;通过邻域特征计算局部传播可达率并映射为阻隔概率,识别初始传播阻隔区;构建跨社区传播路径并基于阻隔概率、路径长度及节点传播成功性筛选有效路径;根据路径对阻隔区的穿透表现,对阻隔区进行分簇及分层回落,实现动态更新;在此基础上对路径进行重构优化;最终结合目标社区再扩散能力及路径可传播性计算节点的有效破圈贡献值,在预算约束下筛选目标推流节点并执行内容推送。本申请提高跨社区传播的准确性、稳定性及资源利用效率。
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