Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data
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DOI: 10.1287/mksc.1120.0711
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- 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.
- Paolo Zeppini & Koen Frenken, 2018.
"Networks, Percolation, and Consumer Demand,"
Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-1.
- Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Post-Print halshs-01952450, HAL.
- Nejad, Mohammad G. & Amini, Mehdi, 2024. "Designing profitable seeding Programs: The effects of social network properties and consumer homophily," Journal of Business Research, Elsevier, vol. 173(C).
- Garth Heutel & Erich Muehlegger, 2015.
"Consumer Learning and Hybrid Vehicle Adoption,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 125-161, September.
- Heutel, Garth & Muehlegger, Erich J., 2010. "Consumer Learning and Hybrid Vehicle Adoption," Scholarly Articles 4448996, Harvard Kennedy School of Government.
- Heutel, Garth & Muehlegger, Erich, 2010. "Consumer Learning and Hybrid Vehicle Adoption," Working Paper Series rwp10-013, Harvard University, John F. Kennedy School of Government.
- William Rand & Roland T. Rust & Min Kim, 2018. "Complex systems: marketing’s new frontier," AMS Review, Springer;Academy of Marketing Science, vol. 8(3), pages 111-127, December.
- Olivier Toubia & Jacob Goldenberg & Rosanna Garcia, 2014. "Improving Penetration Forecasts Using Social Interactions Data," Management Science, INFORMS, vol. 60(12), pages 3049-3066, December.
- Vahideh Manshadi & Sidhant Misra & Scott Rodilitz, 2020. "Diffusion in Random Networks: Impact of Degree Distribution," Operations Research, INFORMS, vol. 68(6), pages 1722-1741, November.
- Xiao, Yu & Han, Jingti, 2016. "Forecasting new product diffusion with agent-based models," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 167-178.
- 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.
- 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.
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Keywords
social networks; diffusion of innovation; diffusion models; forecasting;All these keywords.
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