• 作者：James Christopher S. Pang^a ; ^d ; ^{james.pang@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Christopher P. Monterola ; ^b ; ^c ; ^d ; ^{monterolac@ihpc.a-star.edu.sg" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Dendritic networks ; Multilevel marketing ; Balancing factor ; Pareto principle
• 刊名：Communications in Nonlinear Science and Numerical Simulation
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：43
• 期：Complete
• 页码：100-110
• 全文大小：1566 K

Highlghts

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The complexity and inherent dynamics of multilevel marketing (MLM) is introduced.

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A greedy branching model is used to capture the observed tree-like structures in MLM.

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In particular, biologically inspired dendritic network growth is used to model MLM.

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Model accuracy is demonstrated using known statistics of previously studied MLM.

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Paradigm reported captures MLM dynamics better than previously reported models.