Collective decision dynamics in the presence of external drivers
Collective decision dynamics in the presence of external drivers
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DOI：
10.1103/physreve.86.036105
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发表时间：
2012-09-11
影响因子：
2.4
通讯作者：
Carlson, Jean M.
中科院分区：
文献类型：
--
作者：
Bassett, Danielle S.;Alderson, David L.;Carlson, Jean M.
我们开发了一系列模型，描述信息传输和决策动态网络的个人代理受到多个影响源。我们的总体框架是在即将发生的自然灾害的背景下设定的，在这种情况下，由网络上的节点代表的个人必须决定是否撤离。影响力的来源包括一对多外部驱动的全球广播以及网络中各个链接之间的成对交互，其中代理人传输连续的意见或二元行为。我们认为统一和可变的阈值规则的个人意见作为基线模型的决策。我们的研究结果表明，（1）社交网络导致集群和凝聚力的个人之间的行动，（2）二进制信息引入了高的时间变异性和停滞，（3）信息传输网络可以促进或阻碍行动采用，这取决于全球广播相对于社会网络的影响。我们的框架突出了本地代理之间的相互作用在预测作为一个整体的人口的集体行为的重要作用。
We develop a sequence of models describing information transmission and decision dynamics for a network of individual agents subject to multiple sources of influence. Our general framework is set in the context of an impending natural disaster, where individuals, represented by nodes on the network, must decide whether or not to evacuate. Sources of influence include a one-to-many externally driven global broadcast as well as pairwise interactions, across links in the network, in which agents transmit either continuous opinions or binary actions. We consider both uniform and variable threshold rules on the individual opinion as baseline models for decision making. Our results indicate that (1) social networks lead to clustering and cohesive action among individuals, (2) binary information introduces high temporal variability and stagnation, and (3) information transmission over the network can either facilitate or hinder action adoption, depending on the influence of the global broadcast relative to the social network. Our framework highlights the essential role of local interactions between agents in predicting collective behavior of the population as a whole.