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The Development of Chinese Sociological Knowledge Space Based on Linguistic Representation

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Abstract

The traditional subject analysis is mainly based on the qualitative analysis of the text, supplemented in part by the method of literature measurement and analysis such as word frequency and bibliographic citations. Based on the full text of the papers published in the top two journals of Chinese sociology, Journal of Sociological Studies (1986–2015) and Chinese Journal of Sociology (2006–2015), this paper studies the changes, development characteristics and sub-discipline characteristics of sociology in the past 30 years by means of modern text semantic analysis. This paper also shows the feasibility of applying modern natural language analysis techniques as measurement on the subject of knowledge space in social sciences.

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Notes

  1. 1.

    In extracting the names of scholars, only scholars with Chinese translations of their names are retained for foreign scholars, that is, scholars whose works have been translated into Chinese and published. The translation of the work into Chinese implies formal introduction of the work of foreign scholars. There are large numbers of foreign scholars whose work are directly quoted and referenced.

References

  1. Mikolov T, Chen K, Corrado G et al (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781

  2. Hinton GE (1984) Distributed representations. Carnegie-Mellon University Pittsburgh, PA

    Google Scholar 

  3. Harris ZS (1954) Distributional structure. Word. 10(2–3):146–162

    Article  Google Scholar 

  4. Pennington J, Socher R, Manning CD (2014) GloVe: Global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp 1532–1543

    Google Scholar 

  5. Peng Y (2010) Foreign stereotyped writing and social science norms. J Sociol Stud. 02:180–210

    Google Scholar 

  6. Li W (2016a) Keeping up with the times: the development of research since sociological recovery and reconstruction. J Sociol Stud 6:73–94

    Google Scholar 

  7. Feng X (2000) Twenty years of sociological methodology: applications and research. J Sociol Stud. 1:3–13

    Google Scholar 

  8. Fang M, Wang Z (1989) Review and prospects: charting a new course in the development of sociology in China. J Sociol Stud 1989(1):5–14

    Google Scholar 

  9. Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393(6684):440–442

    Article  Google Scholar 

  10. Moody J, White DR (2003) Structural cohesion and embeddedness: A hierarchical concept of social groups. Am Sociol Rev 68(1):103–127

    Article  Google Scholar 

  11. Newman ME, Barabási A, Watts DJ (2006) The structure and dynamics of networks . Princeton University Press, Princeton; Oxford

    Book  Google Scholar 

  12. Gulati R, Sytch M, Tatarynowicz A (2012) The rise and fall of small worlds: Exploring the dynamics of social structure. Organ Sci 23(2):449–471

    Article  Google Scholar 

  13. Barabási A, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512

    Article  MathSciNet  Google Scholar 

  14. Clauset A, Shalizi CR, Newman MEJ (2007) Power-law distributions in empirical data. SIAM Rev 51(4):661–703

    Article  MathSciNet  Google Scholar 

  15. Li Y (2016b) Reflections on the construction of the academic discourse in sociology with Chinese characteristics. J Sociol Stud 5:27–37

    Google Scholar 

  16. Xie Y (2018) Getting Out of the myth of the localization discussion in Chinese sociology. J Sociol Stud 2

    Google Scholar 

  17. Lakatos I (1976) Falsification and the methodology of scientific research programmes. In: Can theories be refuted? Springer, pp 205–259

    Google Scholar 

  18. Merton R (1967) On theoretical sociology: five essays, old and new. Simon and Schuster

    Google Scholar 

  19. Kuhn TS (1986) The structure of scientific revolutions, 2nd edn. University of Chicago, Chicago

    Google Scholar 

  20. Price DJDS, Tukey JW (1963) Little science, big science. Columbia Univ. Press, New York

    Google Scholar 

  21. Gaston J (1978) The reward system in British and American science. Wiley

    Google Scholar 

  22. Crane D (1988) Invisible colleges: diffusion of knowledge in scientific communities. University of Chicago Press

    Google Scholar 

  23. Price DJDS (1963) Little science, big science. Columbia University Press, New York

    Book  Google Scholar 

  24. Ye H (2015) Beyond the neoclassical: the fourth revolution in economics and the fourth Synthesis. South Econ V33(8):1–31

    Google Scholar 

  25. Ma T (2014) The paradigm structure of Western economics and its evolution. Chin Soc Sci 10:41–61

    Google Scholar 

  26. White HD, Wellman B, Nazer N (2004) Does citation reflect social structure?: longitudinal evidence from the Globenet interdisciplinary research group. J Am Soc Inform Sci Technol 55(2):111–126

    Article  Google Scholar 

  27. White DR, Harary F (2001) The cohesiveness of blocks in social networks: Node connectivity and conditional density. Sociol Methodol 31(1):305–359

    Article  Google Scholar 

  28. Xie Y, Fan Z, Lu, Z et al (2012) The realistic approach to social science. Yunmeng Study 33(3): 5–10.

    Google Scholar 

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Authors and Affiliations

  1. Institute of Social Development, Chinese Academy of Social Sciences, Beijing, China

    Huashan Chen

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  1. Huashan Chen
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Correspondence to Huashan Chen .

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    Chen, H. (2021). The Development of Chinese Sociological Knowledge Space Based on Linguistic Representation. In: China’s e-Science Blue Book 2020. Springer, Singapore. https://doi.org/10.1007/978-981-15-8342-1_17

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    • DOI: https://doi.org/10.1007/978-981-15-8342-1_17

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    • Publisher Name: Springer, Singapore

    • Print ISBN: 978-981-15-8341-4

    • Online ISBN: 978-981-15-8342-1

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