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The Structural Virality of Online Diffusion

Citations

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Cited by:

  1. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
  2. 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.
  3. Cui, Hao & Kertész, János, 2023. "“Born in Rome” or “Sleeping Beauty”: Emergence of hashtag popularity on the Chinese microblog Sina Weibo," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
  4. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
  5. Dominique von Matt, 2016. "Dramaturgie von Crossmedia-Kampagnen als Treiber der viralen Verbreitung [The dramaturgy of cross-media campaigns as a driver of viral distribution]," Schmalenbach Journal of Business Research, Springer, vol. 68(4), pages 423-446, December.
  6. Michael Sidorov & Ofer Hadar & Dan Vilenchik, 2024. "Revisiting Information Cascades in Online Social Networks," Mathematics, MDPI, vol. 13(1), pages 1-21, December.
  7. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
  8. Paul M. Anglin & Yanmin Gao, 2023. "Value of Communication and Social Media: An Equilibrium Theory of Messaging," The Journal of Real Estate Finance and Economics, Springer, vol. 66(4), pages 861-903, May.
  9. Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
  10. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
  11. Carattini, Stefano & Fankhauser, Sam & Gao, Jianjian & Gennaioli, Caterina & Panzarasa, Pietro, 2023. "What does network analysis teach us about international environmental cooperation?," Ecological Economics, Elsevier, vol. 205(C).
  12. Prasha Shrestha & Arun Sathanur & Suraj Maharjan & Emily Saldanha & Dustin Arendt & Svitlana Volkova, 2020. "Multiple social platforms reveal actionable signals for software vulnerability awareness: A study of GitHub, Twitter and Reddit," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
  13. Gaetano Lisi, 2024. "Is Education the Best Tool to Fight Disinformation?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 15996-16012, December.
  14. Sacco, Pier Luigi & Gallotti, Riccardo & Pilati, Federico & Castaldo, Nicola & De Domenico, Manlio, 2021. "Emergence of knowledge communities and information centralization during the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 285(C).
  15. Changseung Yoo & Eunae Yoo & Lu (Lucy) Yan & Alfonso Pedraza-Martinez, 2024. "Speak with One Voice? Examining Content Coordination and Social Media Engagement During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 551-569, June.
  16. Marco Dueñas & Antoine Mandel, 2023. "The structure of global cultural networks: Evidence from the diffusion of music videos," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-17, November.
  17. Jing Peng & Christophe Van den Bulte, 2024. "Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum," Management Science, INFORMS, vol. 70(11), pages 7961-7983, November.
  18. Zhang, Yaotian & Feng, Mingming & Shang, Ke-ke & Ran, Yijun & Wang, Cheng-Jun, 2022. "Peeking strategy for online news diffusion prediction via machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
  19. Yujia Sui & Bin Zhang, 2021. "Determinants of the Perceived Credibility of Rebuttals Concerning Health Misinformation," IJERPH, MDPI, vol. 18(3), pages 1-17, February.
  20. Chen‐Nan Liao & Ying‐Ju Chen & Vincent (Pei‐Ming) Chen, 2023. "Spread and control of medical rumors in a social network: A generalized diffusion model with a highly asymmetric network structure," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3683-3698, November.
  21. 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.
  22. Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
  23. Michael Kahr & Markus Leitner & Ivana Ljubić, 2024. "The Impact of Passive Social Media Viewers in Influence Maximization," INFORMS Journal on Computing, INFORMS, vol. 36(6), pages 1362-1381, December.
  24. Govind Kumar Jha & Hardeo Kumar Thakur & Preetish Ranjan & Manish Gaur, 2023. "A trust based model for recommendations of malignant people in social network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 415-428, February.
  25. Zhang, Renquan & Wei, Ting & Sun, Yifan & Pei, Sen, 2024. "Influence maximization based on simplicial contagion models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
  26. Xiaoming Li & Conghu Wang & Bin Jiang & Hua Mei, 2023. "Mitigating the outbreak of an infectious disease over its life cycle: A diffusion-based approach," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-18, January.
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