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Impact of social network structure on content propagation: A study using YouTube data

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  1. Woohyun Yoo & Taemin Kim & Soobum Lee, 2021. "Predictors of Viewing YouTube Videos on Incheon Chinatown Tourism in South Korea: Engagement and Network Structure Factors," Sustainability, MDPI, vol. 13(22), pages 1-11, November.
  2. Samadi, Mohammadreza & Nikolaev, Alexander & Nagi, Rakesh, 2016. "A subjective evidence model for influence maximization in social networks," Omega, Elsevier, vol. 59(PB), pages 263-278.
  3. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
  4. Moldovan, Sarit & Steinhart, Yael & Lehmann, Donald R., 2019. "Propagators, Creativity, and Informativeness: What Helps Ads Go Viral," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 102-114.
  5. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
  6. Feng, Cong & Xiang, Kexin, 2023. "Structural power of female executives and retailer profitability: A contingent resource-based perspective," Journal of Business Research, Elsevier, vol. 168(C).
  7. Qingliang Wang & Fred Miao & Giri Kumar Tayi & En Xie, 2019. "What makes online content viral? The contingent effects of hub users versus non–hub users on social media platforms," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1005-1026, November.
  8. Vishal Narayan & Vrinda Kadiyali, 2016. "Repeated Interactions and Improved Outcomes: An Empirical Analysis of Movie Production in the United States," Management Science, INFORMS, vol. 62(2), pages 591-607, February.
  9. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
  10. Kim, Hwang & Rao, Vithala R., 2022. "The role of network embeddedness across multiple social networks: Evidence from mobile social network games," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 867-887.
  11. Hui-Ju Wang, 2022. "Understanding reviewer characteristics in online reviews via network structural positions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1311-1325, September.
  12. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
  13. Sarah Gelper & Ralf van der Lans & Gerrit van Bruggen, 2021. "Competition for Attention in Online Social Networks: Implications for Seeding Strategies," Management Science, INFORMS, vol. 67(2), pages 1026-1047, February.
  14. Abouk, Rahi & Jalali, Nima & Papatla, Purushottam, 2024. "Can tweets be word of mouth that changes risky behaviors?," Journal of Business Research, Elsevier, vol. 174(C).
  15. Ganesh Iyer & Zsolt Katona, 2016. "Competing for Attention in Social Communication Markets," Management Science, INFORMS, vol. 62(8), pages 2304-2320, August.
  16. Zhuoxin Li & Ashish Agarwal, 2017. "Platform Integration and Demand Spillovers in Complementary Markets: Evidence from Facebook’s Integration of Instagram," Management Science, INFORMS, vol. 63(10), pages 3438-3458, October.
  17. Craig Tutterow & Guillaume Saint-Jacques, 2019. "Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals," Papers 1902.07133, arXiv.org.
  18. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
  19. Chong (Alex) Wang & Xiaoquan (Michael) Zhang & Il-Horn Hann, 2018. "Socially Nudged: A Quasi-Experimental Study of Friends’ Social Influence in Online Product Ratings," Information Systems Research, INFORMS, vol. 29(3), pages 641-655, September.
  20. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
  21. Prithwiraj Mukherjee & Souvik Dutta & Arnaud De Bruyn, 2022. "Did clickbait crack the code on virality?," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 482-502, May.
  22. Behnaz Bojd & Hema Yoganarasimhan, 2022. "Star-Cursed Lovers: Role of Popularity Information in Online Dating," Marketing Science, INFORMS, vol. 41(1), pages 73-92, January.
  23. Ebbes, Peter & Huang, Zan & Rangaswamy, Arvind, 2016. "Sampling designs for recovering local and global characteristics of social networks," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 578-599.
  24. Ho Kim & Juncai Jiang & Norris I. Bruce, 2021. "Discovering heterogeneous consumer journeys in online platforms: implications for networking investment," Journal of the Academy of Marketing Science, Springer, vol. 49(2), pages 374-396, March.
  25. Wentao Wu & Wai Kin Victor Chan & Lei Chi & Zhiguo Gong, 2017. "Identifying a Set of Key Members in Social Networks Using SDP-Based Stochastic Search and Integer Programming Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(03), pages 1-22, June.
  26. Catherine E. Tucker, 2015. "The Reach and Persuasiveness of Viral Video Ads," Marketing Science, INFORMS, vol. 34(2), pages 281-296, March.
  27. Anja Lambrecht & Catherine Tucker & Caroline Wiertz, 2018. "Advertising to Early Trend Propagators: Evidence from Twitter," Marketing Science, INFORMS, vol. 37(2), pages 177-199, March.
  28. Zsolt Katona, 2013. "Competing for Influencers in a Social Network," Working Papers 13-06, NET Institute.
  29. Zhou, Liying & Jin, Fei & Wu, Banggang & Chen, Zhi & Wang, Cheng Lu, 2023. "Do fake followers mitigate influencers’ perceived influencing power on social media platforms? The mere number effect and boundary conditions," Journal of Business Research, Elsevier, vol. 158(C).
  30. Watanabe, Nicholas M. & Kim, Jiyeon & Park, Joohyung, 2021. "Social network analysis and domestic and international retailers: An investigation of social media networks of cosmetic brands," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  31. Fay, Scott & Feng, Cong & Patel, Pankaj C., 2022. "Staying small, staying strong? Retail store underexpansion and retailer profitability," Journal of Business Research, Elsevier, vol. 144(C), pages 663-678.
  32. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
  33. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
  34. Mingyung Kim & Eric T. Bradlow & Raghuram Iyengar, 2022. "Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights," Marketing Science, INFORMS, vol. 41(4), pages 848-866, July.
  35. Vineet Kumar & K. Sudhir, 2019. "Can Friends Seed More Buzz and Adoption"," Cowles Foundation Discussion Papers 2178, Cowles Foundation for Research in Economics, Yale University.
  36. Haris Krijestorac & Rajiv Garg & Vijay Mahajan, 2020. "Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls," Information Systems Research, INFORMS, vol. 31(2), pages 449-472, June.
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