Managing social networks: Applying the percolation theory methodology to understand individuals' attitudes and moods
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DOI: 10.1016/j.techfore.2017.09.039
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- Hwang, Jeong Seop & Rho, Jae Jeung & Hwang, Yoon Min, 2023. "Influence of cognitive and social change factors on E-vehicle switching intention: Evidence from Korea," Technology in Society, Elsevier, vol. 74(C).
- Guo, Jingni & Xu, Junxiang & He, Zhenggang & Liao, Wei, 2021. "Research on risk propagation method of multimodal transport network under uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
- Zhukov, Dmitry & Khvatova, Tatiana & Millar, Carla & Andrianova, Elena, 2022. "Beyond big data – new techniques for forecasting elections using stochastic models with self-organisation and memory," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Zhukov, Dmitry & Khvatova, Tatiana & Millar, Carla & Zaltcman, Anastasia, 2020. "Modelling the stochastic dynamics of transitions between states in social systems incorporating self-organization and memory," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
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Keywords
Percolation theory; Managing social networks; Clustering; Density; Percolation threshold;All these keywords.
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