Computer Science ›› 2025, Vol. 52 ›› Issue (8): 45-50.doi: 10.11896/jsjkx.250200013

• Software Engineering • Previous Articles     Next Articles

Data-driven Analysis of Evolutionary Trends and Collaboration Patterns in Open Source AcademicAchievements

YE Bodian1, GAO Min1, WANG Wei2, CHEN Yang1   

  1. 1 College of Computer Science and Artificial Intelligence,Fudan University,Shanghai 200438,China
    2 School of Data Science and Engineering,East China Normal University,Shanghai 200062,China
  • Received:2025-02-05 Revised:2025-06-04 Online:2025-08-15 Published:2025-08-08
  • About author:YE Bodian,born in 2000,master.Her main research interests include social computing and complex network.
    CHENG Yang,born in 1981,Ph.D,professor.His main research interests include social computing,intelligent networks and systems,and open source big data.
  • Supported by:
    National Natural Science Foundation of China(62072115).

Abstract: Open source has become a significant trend in software development,driving technological innovation and progress.Insights into current trends and collaboration models can help researchers and policymakers set reasonable goals.This paper analyzes 5 990 papers related to open source from the DBLP database,published between 1998 and 2023,to explore the evolution of open-source related studies.The analysis of publication venues,titles,and citation counts reveals two main categories of research:those focused on open-source software and those on empirical studies,with the former being more prevalent.Additionally,the collaborative relationships among researchers and countries are modeled and the findings indicate that most researchers are affiliated with universities,primarily focusing on software engineering and open-source.Furthermore,collaborations tend to be concentrated within single countries,predominantly involving developed nations.

Key words: Open source, Higher-order relationship, Collaboration network, International collaboration, Evolution

CLC Number: 

  • TP311.5
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