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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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.
References
Corrado, G., Corrado, L.: Inclusive finance for inclusive growth and development. Curr. Opin. Env. Sust. 24, 19-23 (2017)
Liu, T., He, G., Turvey, C.G.: Inclusive finance, farm households entrepreneurship, and inclusive rural transformation in rural poverty-stricken areas in China. Emerg. Mark. Financ. Tr. (2019). https://doi.org/10.1080/1540496X.2019.1694506.
Su, T., Yu, Y., Chen, Y., Zhang, J.: The experience, dilemma, and solutions of sustainable development of inclusive finance in rural china: based on the perspective of synergy. Sust. 11, 5984 (2019)
Tian, K., Xiong, D., Yan, W., Yuan, G.X.: The study of dynamics for credit default risk by backward stochastic differential equation method. Int. J. Financ. Eng. 5, 1850038 (2018)
Yu, X., Yang, Q., Wang, R., Fang, R., Deng, M.: Data cleaning for personal credit scoring by utilizing social media data: an empirical study. IEEE Intell. Syst. 35, 7–15 (2020)
Guo, G., Zhu, F., Chen, E., Liu, Q., Wu, L., Guan, G.: From footprint to evidence: an exploratory study of mining social data for credit scoring. ACM Trans. Web 10(Art. 22) (2016)
Zhou, N., Wu, Q., Hu, X.: Research on the policy evolution of China's new energy vehicles industry. Sustainability 12, 3629 (2020)
Nunes, M., Abreu, A.: Managing open innovation project risks based on a social network analysis perspective. Sustainability 12, 3132 (2020)
Newman, M.E.J.: Coauthorship networks and patterns of scientific collaboration. Proc. Natl. Acad. Sci. USA 101, 5200-5205 (2004)
Alireza, A., Liaquat, H., Loet L.: Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. J. Informetr. 6, 403–412 (2012)
Rong, X., Tao, Q.: Social network analysis in LIS field corelation of empirical research. Libr. World 2010 (2010)
Sun, N., Zhu, J., Cheng, H., Wu, Y.: Study coauthor relationship based on social network analysis papers (in Chinese). J. Suzhou Univ. 29(09) (2014)
Daud, A., et al.: Finding rising stars in co-author networks via weighted mutual influence. In: WWW ’17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 33-41 (2017)
Fujita, M., Inoue, H., Terano, T.: Searching promising researchers through network centrality measures of co-author networks of technical papers. In: 2017 IEEE 41st Annual Computer Software and Applications Conference, pp. 615-618 (2017)
Fu, C., Zeng, W., Ding, R., Mao, C., He, C., Chen, G.: Social Network Analysis of China Computer Federation Coauthor Network. HCC 2017, LNCS 10745, pp. 422–432 (2018)
Newman, M.E.J.: Scientific collaboration networks. I. Network construction and fundamental results. Phys. Rev. E 64, 016131 (2001)
Zhang, X., Li, X., Jiang, S., Li, X., Xie, B.: Evaluation of scholar's contribution to team based on weighted coauthor network. In: ICPCSEE 2019, CCIS 1058, pp. 52–61 (2019)
Wasseman, S., Faust, K.: Social Network Analysis: Methods and Applications, vol.. Cambridge University Press, Cambridge (1994)
Kim, H.M., Oh, K.W., Jung, H.J.: Socialization on Sustainable Networks: The Case of eBay Green's Facebook. Sustainability 12, 3476 (2020)
Bonacich, P.: Some unique properties of eigenvector centrality. Soc. Netw. 29, 555-564 (2007)
Borgatti, S.P.: Centrality and network flow. Soc. Netw. 27, 55-71 (2005)
Frank, K.A.: Identifying cohesive subgroups. Soc. Netw. 17, 27-56 (1995)
Batagelj, V., Zaversnik, M.: An O(m) algorithm for cores decomposition of networks. arXiv preprint 2003 arXiv:cs/0310049
Kong, Y.-X., Shi, G.-Y., Wu, R.-J., Zhang, Y.-C.: core: Theories and applications. Phys. Rep. 832, 1-32 (2019)
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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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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