Network Overlap and Content Sharing on Social Media Platforms

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  • Jing Peng
    School of Business, University of Connecticut .
  • Ashish Agarwal
    Risk, and Operations Management, McCombs School of Business, University of Texas at Austin.
  • Kartik Hosanagar
    Information and Decisions, the Wharton School, University of Pennsylvania .
  • Raghuram Iyengar
    The Wharton School, University of Pennsylvania.

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<jats:p>Improving content sharing on social media platforms helps firms enhance the efficacy of their marketing campaigns. The authors study the impact of network overlap—the overlap in network connections between two users—on content sharing in directed social media platforms. The authors propose a hazards model that flexibly captures the impact of three measures of network overlap (i.e., common followees, common followers, and common mutual followers) on content sharing. Using data on content sharing from two directed social media platforms (Twitter and Digg), the authors establish that a receiver is more likely to share content from a sender with whom they share more common followees, common followers, or common mutual followers even after accounting for other measures. In addition, common followers have a higher effect than common mutual followers on the sharing propensity of the receiver. Finally, the effect of common followers and common mutual followers is positive when the content is novel but decreases, and may even become negative, when many others have already shared it. Collectively, these results have a bearing for marketers to more effectively target users for spreading content on social media platforms.</jats:p>

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