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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-10-27
摘要
The study of 網絡 formation is pervasive in 經濟s, sociology, and many other fields. In this article, we model 網絡 formation as a 'choice' that is made by nodes of a 網絡 to connect to other nodes. We study these 'choices' using discrete-choice models, in which 智能體s choose between two or more discrete alternatives. We employ the 'repeated-choice' (RC) model to study 網絡 formation. We argue that the RC model overcomes important limitations of the multinomial logit (MNL) model, which gives one framework for studying 網絡 formation, and that it is well-suited to study 網絡 formation. We also illustrate how to use the RC model to accurately study 網絡 formation using both synthetic and real-world 網絡s. Using edge-independent synthetic 網絡s, we also compare the performance of the MNL model and the RC model. We
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