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Community evolution on Stack Overflow.

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Stack Overflow data reveals persistent web development communities and limited user mobility. Analysis of user-technology interactions shows evolving programming language popularity over time.

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Area of Science:

  • Computer Science
  • Social Computing
  • Data Science

Background:

  • Stack Overflow is a major Q&A platform for developers, facilitating knowledge sharing since 2008.
  • Community moderation via voting shapes content quality and user engagement.
  • The platform hosts a vast repository of crowd-sourced software development knowledge.

Purpose of the Study:

  • To analyze Stack Overflow data (2008-2020) to identify trends in technology groupings and user sub-communities.
  • To examine the evolution and interconnection of these user-technology communities over time.
  • To understand the dynamics of user behavior and technology adoption within the developer community.

Main Methods:

  • Analysis of all questions, answers, votes, and tags from Stack Overflow (2008-2020).
  • Generation of user-technology interaction graphs.
  • Application of community detection algorithms to identify and track user communities annually.

Main Results:

  • Web development consistently formed the largest and most persistent user communities.
  • Users generally exhibit low mobility between communities, either staying within one or gaining no score.
  • Community evolution highlights shifts in the popularity of programming languages and frameworks on Stack Overflow.

Conclusions:

  • Stack Overflow data provides valuable insights into developer community structures and dynamics.
  • Long-term trends in the software development industry are reflected in user-technology interactions.
  • The study identifies stable community structures and evolving technology preferences among developers.