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The impact of individual attributes on knowledge diffusion in web forums

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  • Bing Wu
  • Shan Jiang
  • Hsinchun Chen

Abstract

Web forums one of the most important Web 2.0 developments have become a useful platform for tracking and exploring knowledge diffusion among online users. Such networks are usually large, complex, and multi-dimensional, consisting of various types of nodes and ties. Therefore we use exponential random graph models to model online multi-dimensional knowledge diffusion and to systematically evaluate the impact of individual characteristics on knowledge diffusion networks. Experiments are conducted on a longitudinal dataset that covers one decade, drawn from the Yahoo! Finance Wal-Mart message board. The results show that reciprocal knowledge diffusion occurs in the forum; high-authority individuals play an important role in knowledge diffusion networks; a high level of online activity has a positive impact on knowledge diffusion; and polarized emotions have little influence on the knowledge diffusion processes. We conclude this paper with a discussion of how exponential random graph models could contribute to our understanding of the structure of online knowledge diffusion networks. Copyright Springer Science+Business Media Dordrecht 2015

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  • Bing Wu & Shan Jiang & Hsinchun Chen, 2015. "The impact of individual attributes on knowledge diffusion in web forums," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2221-2236, November.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:6:p:2221-2236
    DOI: 10.1007/s11135-015-0240-y
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    1. Li, Jingjing & Zhang, Yumei & Man, Jiayu & Zhou, Yun & Wu, Xiaojun, 2017. "SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 740-749.
    2. Jinlou Zhao & Hongyu Gao & Yongli Li & Jiaguo Liu, 2017. "Which factors affect the duration of hot topics on social media platforms?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2395-2407, September.

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