Analysis of the Structural Characteristics of Social Networks from a Statistical Perspective

DOI: https://doi.org/10.62517/jse.202511403

Author(s)

Tianyao Xie

Affiliation(s)

Nanjing Zhonghua High School, Nanjing, Jiangsu, China

Abstract

This paper systematically explores the application research of social network structure from a statistical perspective, focusing on three core areas: modeling of information dissemination dynamics, analysis of social capital accumulation mechanisms, and optimization of network intervention strategies. By integrating multiple statistical methods such as survival analysis, multi-layer network models, and reinforcement learning, the nonlinear influence mechanism of network structure on individual behavior and social systems is revealed. The research emphasizes the innovation of statistical modeling under dynamic network evolution, individual strategy interaction and resource constraints. It combines ABM simulation and Bayesian optimization techniques to construct an experimental verification framework, providing quantitative decision support for real-world scenarios such as social media governance and public health prevention and control, and promoting the transformation of social network analysis from descriptive research to causal inference and optimization design paradigms.

Keywords

Social Network Structure; Statistical Modeling; Dynamics of Information Dissemination; Social Capital; Optimization of Intervention Strategies

References

[1] Xue Q. Modeling and A/B Testing Based on Social Network Data [D]. Kunming University of Science and Technology,2023. [2] Lu Q, Ning J. Analysis of the Network Structure of the Beijing-Tianjin-Hebei Urban Agglomeration Based on Enterprise Data: Application of Regional Social Network and Hypernetwork Analysis[J]. Urban Planning 2024,48(9):19-30. [3] Wang Z, Xu Y. Analysis of the Structural Characteristics and Effects of Spatial Correlation Network in China's Digital Economy: Based on Social Network Analysis [J]. Finance and Economics 2022(10):14. [4] Zhang X, Han H, Tang Y, et al. Research on the Structural Characteristics of Chinese Urban Network Based on Baidu Migration Data [J]. Journal of Geoinformation Science 2021,23(10):11. [5] Wang Y, Huang X. The Network Structure and Spatial Correlation of Chinese Cities: An Analysis from "Network Flow" Data [J]. Finance Theory and Practice 2021, 1,042(002):112-118. [6] Bao Haiqin, Zhang Andong, Sun Weiwei. Social Network Characteristics of International Mobility of Engineering Postgraduates: An Analysis Based on the Resumes of Authors from Three Journals Indexed by IEEE [J] Higher Education Research, 2024, 45(4):98-109. [7] Jing Meng, Liu Guizhen, Li Qi, et al. Research on the Risk Transmission Characteristics of Carbon Dioxide Geological Storage Based on Social Network Analysis Method [J] Journal of Geology of Chinese Universities, 2023, 29(1):100-109. [8] Zhang Xuhong, Zhou Cheng, Jin Yiting, et al. Evolution Characteristics and Influencing Mechanism of Urban Digital Economy Network in the Yellow River Basin [J]. Economic Geography, 2025, 45(5):35-45. [9] Gan Xiaolong, Xiang Shuang, Yi Yan, et al. Analysis of the Policy Evolution Characteristics and Development Trends of China's Digital Rural Construction from the Perspective of Social Network Analysis [J] Journal of Southwest University (Natural Science Edition), 2025, 47(1):147-162.