Social Sciences

We sourced our data by crawling comments from the “Zoufan” blog within the Weibo social platform. Subsequently, a team of qualified psychologists were enlisted to annotate the data. In our study, strict data preprocessing measures were adopted to protect users’ privacy.

SOS-HL-1K (Suicide Risk Classification)

Interest-based e-commerce survey data. The questionnaire consists of seven sections: The first part includes seven questions about respondents' basic information and platform usage behavior, aimed at determining if the respondents are suitable for this study. The second to seventh parts pertain to the measurement of research variables, covering user interactions, interactions with celebrities, visual appeal, perceived enjoyment, purchase intention, and self-indulgence, totaling 24 questions.

All data are downloaded from the CSMAR and CNRDS Databases in Excel format. The paper uses panel data from 2011 to 2021, excluding the ST, ST*, and financial companies. After combining them together and excluding the missing value, the valid observation number is 23822, which includes 3021 corporations from 75 industries in China's A-share stock market. The dataset includes the digital transformation score, green patent application number, environmental management disclosure score, institution pressure, and other company-related data, like companies' age, size and profitability.

Simulation of the matrix-scaled consensus algorithm [1,2] on the network derived from the dataset socfb-Amherst41 [3,4]. 

References

[1] Trinh, M. H., Vu, D. V., Tran, Q. V., and Ahn, H.-S. "Matrix-scaled consensus." In Proc. of the 61st IEEE Conference on Decision and Control (CDC), pp. 346-351. IEEE, 2022. arXiv preprint arXiv:2204.10723 (2022)

[2] Trinh, M. H., Vu, H. H., Le-Phan, N.-M., and Nguyen, Q. N. "Matrix-Scaled Consensus over Undirected Networks." arXiv preprint arXiv:2303.14751 (2023).