Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market

• URL: http://arxiv.org/abs/2605.27433v1
• Date: Fri, 22 May 2026 08:44:56 GMT
• Title: Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market
• Abstract summary: This paper proposes a data service market measurement and network analysis method based on heterogeneous multi-agent modeling.<n>By introducing the service ecosystem theory, we clarify the participants and external factors of the data service market.<n>Furthermore, an analytical methodology is devised to precisely assess the influence of heterogeneous networks on utility.
• Score: 50.00393065059756
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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