社会网络中的信息传递:一个实地实验

IF 3.2 Q1 POLITICAL SCIENCE Journal of Experimental Political Science Pub Date : 2023-09-18 DOI:10.1017/xps.2023.21
Eleonora Patacchini, Paolo Pin, Tiziano Rotesi
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引用次数: 0

摘要

本文利用智能手机应用程序,在高中生中进行了一项实验,研究稀疏分布信息的聚合模式。代理随机分布在小型网络中,只能共享不可验证的信息片段。结果表明,在信息交换程度较高的情况下,网络成员之间的中心性水平和分布对信息聚合的整体水平具有重要影响。代理网络中心性的不对称性的减少与群体在信息聚合方面的表现的改善有关。
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Information Transmission in a Social Network: A Field Experiment
Abstract Using an app for smartphones, we run an experiment among high-school students to study the pattern of aggregation of sparsely distributed information. Agents are randomly arranged in small networks and can share only non-verifiable pieces of information. Results show that while information exchange is high, the level and the distribution of centralities among network members are important to shape the overall level of information aggregation. A reduction in the asymmetry among agents’ network centralities is associated with an improvement in the performance of the group in terms of aggregation of information.
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来源期刊
Journal of Experimental Political Science
Journal of Experimental Political Science Social Sciences-Sociology and Political Science
CiteScore
5.10
自引率
8.30%
发文量
25
期刊介绍: The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.
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