<p>In digital markets, consistent presence on top charts plays a critical role in determining a product’s economic success. We propose that both the appearance and ranking of an app on these charts are influenced by its structural position in the product network and its connections to already successful apps. Drawing on data from the Google Play Store, this study employs social network analysis and econometric modeling to investigate how product network attributes shape top chart appearance and performance. The results reveal that connections to top apps, the strength of these ties, and network centrality significantly enhance an app’s likelihood of appearing on top charts and achieving higher ranks. However, excessive proximity to other top-performing apps may sometimes dilute visibility and reduce competitive advantage.</p>

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A Network Analysis of Mobile App Top Chart Appearance and Survival

  • Mohsen Jozani,
  • Charles Zhechao Liu,
  • Hongyi Zhu,
  • Long Liu,
  • Kim-Kwang Raymond Choo

摘要

In digital markets, consistent presence on top charts plays a critical role in determining a product’s economic success. We propose that both the appearance and ranking of an app on these charts are influenced by its structural position in the product network and its connections to already successful apps. Drawing on data from the Google Play Store, this study employs social network analysis and econometric modeling to investigate how product network attributes shape top chart appearance and performance. The results reveal that connections to top apps, the strength of these ties, and network centrality significantly enhance an app’s likelihood of appearing on top charts and achieving higher ranks. However, excessive proximity to other top-performing apps may sometimes dilute visibility and reduce competitive advantage.