构造(python库)
灵敏度(控制系统)
计算机科学
社交网络(社会语言学)
数据挖掘
数据科学
分布式计算
工程类
社会化媒体
万维网
计算机网络
电子工程
作者
Fulian Yin,Yanyan Pan,Xinyi Tang,Chang Wu,Zhen Jin,Jianhong Wu
标识
DOI:10.1016/j.aml.2022.108231
摘要
To solve the traditional Susceptible–Forwarding–Immune model of information propagation ignores the social network structure and the influence of multi-platform environment, we construct a complex network SFI model that introduces environmental factors (Net-E-SFI model). This model considers the complexity of the actual social network structure and the multi-platform effect nodes in the Information dissemination environment. We perform parameter fitting using data from two real events with different levels of environmental impact, and the fitting curves are very close to the real values. Sensitivity analysis describes significant parameters related to the environment in support for decision strategies to guide public opinion.
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