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顾及多重关联关系的网络空间对象组织与存储OA

Organization and storage of cyber spatial objects considering multiple associative relationships

中文摘要英文摘要

网络空间要素规模庞大、关联关系复杂,当前研究多侧重于关系的可视化分析,对关系本身数据结构与组织方法的探讨仍不完善.为解决上述问题,本文基于多粒度时空对象数据模型,提出一种顾及多重关联关系的网络空间对象组织与存储的方法.该方法通过把整个网络空间划分为虚实映射、实际关联与虚拟关联三类时空域来系统组织对象,并设计了包含数据描述、定义与存储的三层文件结构.基于美国社交网络的签到数据进行可视化实验,结果表明,所提层次与对象融合考虑方法能有效表达与存储网络空间中的复杂关联关系,验证了所提方法的显著优势.研究表明,以多重关联关系为核心特征构建数据模型,能够为网络空间的深度分析及其地图制图提供更有效的数据支撑.

Cyber spatial elements are vast in scale and complex in their associative relationships.Current research mainly focuses on the visual analysis of these relationships,while the exploration of data structures and organization methods for the relationships themselves remains insufficient.To address this gap,this paper proposed an organization and storage method for cyber spatial objects that took into account the characteristics of multiple associative relationships,based on a multi-granularity spatiotemporal object data model.The method systematically organized objects by dividing the entire cyber space into three categories of spatiotemporal domains:real-virtual mapping,actual association,and virtual association.Addition-ally,a three-tier file structure that included data description,definition,and storage was designed.A visual experiment based on social network check-in data from the United States demonstrated that the proposed hierarchical and object integra-tion approach effectively represents and stores complex associative relationships within the cyber space,validating its signifi-cant advantages.The study shows that constructing a data model centered on multiple associative relationships can provide more effective data support for in-depth analysis and mapping of the cyber space.

赵帅

信息工程大学 地理空间信息学院,河南 郑州 450052

天文与地球科学

关联关系网络空间对象组织对象存储可视化

associative relationshipcyber spaceobject organizationobject storagevisualization

《北京测绘》 2026 (5)

575-580,6

国家重点研发计划(2021YFB3900900)

10.19580/j.cnki.1007-3000.2025120035

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