竞赛(生物学)
计算机科学
节点(物理)
能量(信号处理)
行为建模
路径(计算)
竞争模式
比例(比率)
GSM演进的增强数据速率
人工智能
微观经济学
计算机网络
经济
物理
利润(经济学)
生态学
量子力学
生物
作者
Zhongkai Dang,Lixiang Li,Haipeng Peng,Jiaxuan Zhang
标识
DOI:10.1142/s0217979221502817
摘要
In recent years, the influence of group behavior on individual behavior has been widely concerned by people. This paper takes the propagation of behavior-related information as the influencing medium, constructs the behavior propagation and confrontation competition model based on information energy, and studies the propagation of single behavior and confrontation behaviors in the network. In the model, the behavioral information energy on nodes is related to the information edge weight and the length of the reachable path between nodes, and we quantify the propagation probability of behaviors and the competition probability between the confrontation behaviors by the behavioral information energy. Through modeling and analyzing the change of node motivation and the behavior propagation rule, we carry out the simulation in small-world network and BA scale-free network, respectively. Experimental results show that the information energy has a promoting effect on the propagation of behaviors, and the behaviors that erupt in the network generally have an important information dissemination basis in the early stage and may be promoted by relevant information in the later stage. An open and tightly connected network environment is easier to promote the large-scale propagation of a new behavior. In addition, when two kinds of confrontation behaviors occur in the crowd network, the propagation of behavior-related information and the maintenance of people’s interest in the behavior are the key to the success of the behavioral competition.
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