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Country-Level Collaboration Patterns of Social Computing Scholars

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1681))

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Abstract

Social Computing has been attracting scholars from different disciplines and countries. To study the collaboration preference in this field of research, we construct a global collaboration network of social computing scholars with 2387 publications from 1999 to 2021 from five representative social computing journals. We define the concept of Established Country, Developing Country and Ordinary Country according to the tendency of paper publication of each country. Two new indices, Attract Index and Group-wise Attract Index are introduced to study the collaboration preferences. Overall, Established Countries are preferred in the collaboration with all kinds of countries. Results of negative binomial regression show that collaboration with Established Countries brings better academic influence of the research outcome.

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References

  1. Abrishami, A., Aliakbary, S.: Predicting citation counts based on deep neural network learning techniques. J. Informetrics 13(2), 485–499 (2019)

    Article  Google Scholar 

  2. Beranová, L., Joachimiak, M.P., Kliegr, T., Rabby, G., Sklenák, V.: Why was this cited? Explainable machine learning applied to COVID-19 research literature. Scientometrics pp. 1–37 (2022)

    Google Scholar 

  3. Burt, R.S.: The social structure of competition. Netw. Knowl. Econ. 13, 57–91 (2003)

    Google Scholar 

  4. Chang, L.Y.: Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network. Saf. Sci. 43(8), 541–557 (2005)

    Article  Google Scholar 

  5. Chen, Y., Ding, C., Hu, J., Chen, R., Hui, P., Fu, X.: Building and analyzing a global co-authorship network using google scholar data. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 1219–1224 (2017)

    Google Scholar 

  6. Chen, Y., Hu, J., Xiao, Y., Li, X., Hui, P.: Understanding the user behavior of Foursquare: a data-driven study on a global scale. IEEE Trans. Comput. Soc. Syst. 7(4), 1019–1032 (2020)

    Article  Google Scholar 

  7. Gao, M., Chen, Y., Gong, Q., Wang, X., Hui, P.: Understanding scholar social networks: taking scholat as an example. In: CCF Conference on Computer Supported Cooperative Work and Social Computing, pp. 326–339. Springer (2021) https://doi.org/10.1007/978-981-19-4549-6_25

  8. Ghasemian, F., Zamanifar, K., Ghasem-Aqaee, N., Contractor, N.: Toward a better scientific collaboration success prediction model through the feature space expansion. Scientometrics 108(2), 777–801 (2016). https://doi.org/10.1007/s11192-016-1999-x

    Article  Google Scholar 

  9. Gong, Q., Zhang, J., Wang, X., Chen, Y.: Identifying structural hole spanners in online social networks using machine learning. In: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, pp. 93–95 (2019)

    Google Scholar 

  10. Han, P., Shi, J., Li, X., Wang, D., Shen, S., Su, X.: International collaboration in LIS: global trends and networks at the country and institution level. Scientometrics 98(1), 53–72 (2014)

    Article  Google Scholar 

  11. Haythornthwaite, C.: Social network analysis: an approach and technique for the study of information exchange. Libr. Inf. Sci. Res. 18(4), 323–342 (1996)

    Article  Google Scholar 

  12. Hilbe, J.M.: Negative Binomial Regression. Cambridge University Press, Cambridge (2011)

    Google Scholar 

  13. Iqbal, W., Tang, Y.M., Chau, K.Y., Irfan, M., Mohsin, M.: Nexus between air pollution and NCOV-2019 in china: application of negative binomial regression analysis. Process Saf. Environ. Prot. 150, 557–565 (2021)

    Article  Google Scholar 

  14. Kumar, S.: Co-authorship networks: a review of the literature. Aslib J. Inf. Manage. 67(1), 55–73 (2015)

    Google Scholar 

  15. Lin, Z., Zhang, Y., Gong, Q., Chen, Y., Oksanen, A., Ding, A.Y.: Structural hole theory in social network analysis: a review. IEEE Trans. Comput. Soc. Syst. 9(3), 724–739 (2022)

    Article  Google Scholar 

  16. Liu, H.-I., Huang, M.-H.: Research contribution pattern analysis of multinational authorship papers. Scientometrics 127(4), 1783–1800 (2022). https://doi.org/10.1007/s11192-022-04277-x

    Article  Google Scholar 

  17. Ortega, J.L., Aguillo, I.F.: Institutional and country collaboration in an online service of scientific profiles: Google scholar citations. J. Informetrics 7(2), 394–403 (2013)

    Article  Google Scholar 

  18. Oztig, L.I., Askin, O.E.: Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis. Public Health 185, 364–367 (2020)

    Article  Google Scholar 

  19. Parameswaran, M., Whinston, A.B.: Social computing: an overview. Commun. Assoc. Inf. Syst. 19(1), 37 (2007)

    Google Scholar 

  20. Prabhakar, N., Anbarasi, L.J.: Exploration of the global air transport network using social network analysis. Soc. Netw. Anal. Min. 11(1), 1–12 (2021). https://doi.org/10.1007/s13278-021-00735-1

    Article  Google Scholar 

  21. Schubert, A., Glänzel, W.: Cross-national preference in co-authorship, references and citations. Scientometrics 69(2), 409–428 (2006)

    Article  Google Scholar 

  22. Schuler, D.: Social computing. Commun. ACM 37(1), 28–29 (1994)

    Google Scholar 

  23. Scott, J.: Social network analysis. Sociology 22(1), 109–127 (1988)

    Article  Google Scholar 

  24. Sinha, A., et al.: An overview of microsoft academic service (MAS) and applications. In: Proceedings of the 24th International Conference on World Wide Web, pp. 243–246 (2015)

    Google Scholar 

  25. Tan, Z., Liu, C., Mao, Y., Guo, Y., Shen, J., Wang, X.: AceMap: a novel approach towards displaying relationship among academic literatures. In: Proceedings of the 25th International Conference on World Wide Web Companion, pp. 437–442 (2016)

    Google Scholar 

  26. Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: extraction and mining of academic social networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 990–998 (2008)

    Google Scholar 

  27. Wang, T., Zhang, Q., Liu, Z., Liu, W., Wen, D.: On social computing research collaboration patterns: a social network perspective. Front. Comput. Sci. 6(1), 122–130 (2012)

    MathSciNet  Google Scholar 

  28. Weber, D., Nasim, M., Mitchell, L., Falzon, L.: Exploring the effect of streamed social media data variations on social network analysis. Soc. Netw. Anal. Min. 11(1), 1–38 (2021). https://doi.org/10.1007/s13278-021-00770-y

    Article  Google Scholar 

  29. Yang, S., Berdine, G.: The negative binomial regression. Southwest Respir. Crit. Care Chronicles 3(10), 50–54 (2015)

    Google Scholar 

  30. Yu, D., Kou, G., Xu, Z., Shi, S.: Analysis of collaboration evolution in AHP research: 1982–2018. Int. J. Inf. Technol. Decis. Making 20(01), 7–36 (2021)

    Article  Google Scholar 

  31. Zhang, Z., Rollins, J.E., Lipitakis, E.: China’s emerging centrality in the contemporary international scientific collaboration network. Scientometrics 116(2), 1075–1091 (2018)

    Article  Google Scholar 

  32. Zitt, M., Bassecoulard, E., Okubo, Y.: Shadows of the past in international cooperation: collaboration profiles of the top five producers of science. Scientometrics 47(3), 627–657 (2000)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Jingcan Chen, Yuting Shao, Qingyuan Gong & Yang Chen

Authors
  1. Jingcan Chen
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  2. Yuting Shao
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  3. Qingyuan Gong
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  4. Yang Chen
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Corresponding author

Correspondence to Yang Chen .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Fudan University, Shanghai, China

    Tun Lu

  3. Taiyuan University of Science and Technology, Taiyuan, China

    Yinzhang Guo

  4. Shanxi Datong University, Datong, China

    Xiaoxia Song

  5. Tongji University, Shanghai, China

    Hongfei Fan

  6. Guangdong University of Technology, Guangzhou, China

    Dongning Liu

  7. University of Shanghai for Science and Technology, Shanghai, China

    Liping Gao

  8. Tongji University, Shanghai, China

    Bowen Du

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chen, J., Shao, Y., Gong, Q., Chen, Y. (2023). Country-Level Collaboration Patterns of Social Computing Scholars. In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1681. Springer, Singapore. https://doi.org/10.1007/978-981-99-2356-4_14

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  • DOI: https://doi.org/10.1007/978-981-99-2356-4_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2355-7

  • Online ISBN: 978-981-99-2356-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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