With the increasing complexity of collaboration among various social entities and user demands, the factors affecting the stable development of the data service market are also growing. These factors include the widespread dissemination of information enhancing subjective consciousness, the continuous improvement in intelligence, and the complexification of structural relationships. To achieve effective governance and regulation of the data service market, it is crucial to conduct simulation experiments before making regulatory decisions. However, current research and analysis of the data service market primarily focus on data-level performance, proving inadequate when it comes to measurement and analysis of multiple heterogeneous entities and the integration of various social elements within the data service market. Based on this, this paper innovatively proposes a data service market measurement and network analysis method based on heterogeneous multi-agent modeling. By introducing the service ecosystem theory, we clarify the participants and external factors of the data service market and conduct utility measurements for three-level entities based on value creation. Furthermore, an analytical methodology is devised to precisely assess the influence of heterogeneous networks on utility. Finally, the paper verifies the effectiveness of the proposed method through the analysis of experimental results.

翻译：随着各类社会实体间协作复杂性与用户需求的日益增长，影响数据服务市场稳定发展的因素也在不断增多。这些因素包括：信息广泛传播增强主观意识、智能化水平持续提升以及结构关系趋于复杂化。为有效治理和监管数据服务市场，在制定监管决策前开展仿真实验至关重要。然而，当前针对数据服务市场的研究分析主要集中在数据层面的表现，难以满足对市场中多个异构实体及各类社会要素整合的度量与分析需求。基于此，本文创新性地提出一种基于异构多智能体建模的数据服务市场度量与网络分析方法。通过引入服务生态系统理论，厘清数据服务市场的参与者与外部因素，并基于价值创造对三级实体进行效用度量。进一步地，设计了一种分析框架以精准评估异构网络对效用的影响。最后，通过实验结果分析验证了所提方法的有效性。