观察学习下的最佳影响力

IF 0.5 4区经济学 Q4 ECONOMICS

Mathematical Social Sciences Pub Date : 2024-02-01 DOI:10.1016/j.mathsocsci.2024.01.011

Nikolas Tsakas

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引用次数: 0

摘要

我们研究的是一个企业的最佳目标问题，该企业希望在一个代理人向邻居学习的社会中最大限度地传播产品。企业可以向人口的一个子集播种产品，而我们的目标是找到最佳目标子集。我们提供了一个条件，描述了任何网络结构下的最佳目标策略。该条件的关键参数是代理的衰减中心度，它考虑了代理与其他代理的距离，即距离远的代理的权重低于距离近的代理的权重。

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Optimal influence under observational learning

We study the optimal targeting problem of a firm that is seeking to maximize the diffusion of a product in a society where agents learn from their neighbors. The firm can seed the product to a subset of the population and our goal is to find which the optimal subset to target is. We provide a condition that characterizes the optimal targeting strategy for any network structure. The key parameter in this condition is the agents’ decay centrality, which takes into account how close an agent is to others, in a way that distant agents are weighted less than closer ones.

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来源期刊

Mathematical Social Sciences 数学-数学跨学科应用

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

59 days

期刊介绍： The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences. Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models. Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.