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Patterns of interest change in stack overflow.

Chenbo Fu1,2, Xinchen Yue3,4, Bin Shen3,4

  • 1Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, 310023, China. cbfu@zjut.edu.cn.

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Summary
This summary is machine-generated.

User interest changes on Stack Overflow follow a power-law distribution, unlike scientists

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Area of Science:

  • Computer Science
  • Social Science

Background:

  • User interest dynamics are crucial for understanding knowledge evolution.
  • Previous research on interest changes primarily focused on scientific communities, neglecting public platforms like Stack Overflow.

Purpose of the Study:

  • To analyze user interest changes within the Stack Overflow community.
  • To quantify interest patterns and identify factors influencing them.

Main Methods:

  • Classified the Stack Overflow tag network.
  • Vectorized question topics to model user interest shifts.
  • Analyzed data from 2,307,720 users.

Main Results:

  • User interest change patterns exhibit a power-law distribution.
  • This pattern differs from the exponential distribution observed in scientists' interest changes.
  • Interest changes are influenced by heterogeneity, recency, and proximity.
  • A negative correlation exists between user reputation and interest changes, highlighting the benefit of specialization.

Conclusions:

  • Public interest dynamics, as seen on Stack Overflow, follow distinct patterns compared to scientific communities.
  • Findings can inform the design of recommendation algorithms for online communities.
  • Promoting focused engagement may lead to higher user reputation and community health.