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Social Network Analysis of Coauthor Networks in Inclusive Finance in China

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Data Science (ICPCSEE 2022)

Abstract

The proposal and innovation of inclusive finance provide a very valuable pathway to realize social equity and eliminate poverty, which has attracted extensive attention, especially from developing countries. Based on the papers on inclusive finance published in the Chinese journal database CNKI from \(2014\) to \(2018\), we constructed an undirected weighted coauthor network \(2154\) authors. By employing social network analysis, we found that the number of authors in the field of inclusive finance increased rapidly. Although the cooperation between them was still very low and the cooperation authors were relatively fixed, the scale of cooperation was rapidly expanding. Although no scholar could always be at the center position in the coauthor network, the knowledge transfer path was significantly reduced. Financial universities and some financial institutions were the most important promoters of inclusive finance. Knowledge discovery in this field was promoted alternately by several center authors and cooperation by many scholars \(2014\)-\(2018\). We believe these discoveries are of great significance to promote knowledge sharing and innovation in the academic community of inclusive finance.

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Notes

  1. 1.

    HU, Hubei University; PBC, People's Bank of China; CRF, China Rural Finance; HAU, Hunan Agricultural University; CUFE, Central University of Finance and Economics; EYECC, Ernst & Young (China) Enterprise Consulting Co., Ltd.; LNU, Liaoning Normal University; CBRC, China Banking Regulatory Commission; JU, Jinan University; AUFE, Anhui University of Finance and Economics; JMSU, Jiamusi University; BJ, Bank of Jiangsu; CPGC, China Post Group Corporation; SC, State Council; HUF, Hebei University of Finance; BO, Business Observer; CF, Chinese Financier; NUFE, Nanjing University of Finance and Economics; FE, Financial Economy; XVTC, Xi'an Vocational and Technical College; XAU, Xinjiang Agricultural University; RUC, Renmin University of China; CSCP, China Soft Capital Group; NAC, Nanjing Agricultural College; WBS, Wenzhou Business School.

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Acknowledgments

This work is supported by the Natural Science and Technology Foundation of Guizhou Province, China (QKHJC \(\left[ {2019} \right]1045\)), the Scientific Research Fund of GUFE (\(2019XJC02\)), and the Plan Project for Guizhou Provincial Science and Technology (\(No. QKH - PTRC\left[ {2018} \right]5803\)).

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Correspondence to Xi Yu or Mingsen Deng .

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Yan, J., An, F., Wang, R., Chen, L., Yu, X., Deng, M. (2022). Social Network Analysis of Coauthor Networks in Inclusive Finance in China. In: Wang, Y., Zhu, G., Han, Q., Wang, H., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1628. Springer, Singapore. https://doi.org/10.1007/978-981-19-5194-7_9

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  • DOI: https://doi.org/10.1007/978-981-19-5194-7_9

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