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-  2015 

内群体情绪强度的系统动力学模型

Keywords: Mass-Emergency inter-group emotion intra-group emotion intensity system of dynamic social network

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Abstract:

摘要: 选取自愿参加本实验的某高校20个教学班级的686人为被试,基于社会网络(social network)的系统动力学(system of dynamic)建模的方法建立了内群体情绪强度的系统动力学模型,并采用心理实验的方法对模型的合理性进行了检验,结果表明,所建立的模型能够与实验数据较好拟合,能较合理地对内群体情绪强度变化的动力学规律进行刻画。此外,通过与以往同类研究对比,本研究还发现:内群体情绪强度的减弱滞后于群体内群体情绪传播的减弱。
Abstract: Mass-Emergency (ME), especially negative ME as a kind of sociological phenomenon, attracted attentions of many researchers in sociology, crisis management and psychology. The evolution of ME corresponded with inter-group emotions intensity closely. But previous researches paid little attentions to measure intra-group emotions intensity, let alone the evolution mechanism of it, as a result, people know little about how intra-group emotions intensity varied with time, and then there is no way to monitor the variation trend of it,which is a bad news to the ME-prevention. Most former researches focused on the micro perspective of emotion intensity, or to say, on individual emotion intensity when inter-group emotion transmitted, not on the intra-group emotion intensity of the whole group. Thus their results had a lot of limitations, and always fit the reality bad. In order to improve ecological validity of model which described the transformation law of intra-group emotions intensity, this study adopted 3 kinds of methods, including mathematical modeling, computer simulation and psychological empirical research. In one aspect, mathematical modeling, computer simulation contribute to reveal the law of intra-group emotion intensity changed with time (system of dynamic law). Firstly, The present study defined an inter-group-psychological variable which described emotion intensity of whole groups when inter-group emotion transmitted. And at the same time, a model was built to describe and explored dynamic mechanism of intra-group emotion intensity which consisted of spreaders and stiflers. Besides, sense of group identity was considered into the model, and the model concluded several parameters:Ta(t)indicated the rate of emotion intensity which was above a(a=1,2,3,4,5)1 mean the lowest, 5 mean the highest.Ea indicated the lowest sense of identity level of emotion intensity ”a”.ω indicated unknown parameter.ω1and ω2 indicated rate of spreader and stifler at any point in time. Secondly, this study tested basic hypothesis and ecological validity of the model. In four experiment condition: iner-group positive emotion, iner-group negative emotion, out-group positive emotion and out-group negative emotion. The experiment was conducted in a computer lab, participants were recruited from 20 classes, amount to 686 college

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