Modeling and influence factors of warning dissemination
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摘要: 為了研究警報在社會關系網絡環境中的傳播特征及影響因素,基于多主體建模軟件Repast仿真平臺,以復雜系統和復雜網絡理論為指導,在ER隨機網絡和WS小世界網絡模型的基礎上建立了警報的傳播模型.對社會關系網絡結構和信息源節點規則進行不同設置,通過對模擬結果的研究發現具有高聚類系數的網絡結構和信息源選擇高連接度的節點時,警報通知的傳播效率明顯提高.Abstract: This paper focuses on the dissemination characteristics and the influence factors of warning in a social network. Under the guidance of complex adaptive systems and complex network theories, a dissemination model of warning by using the multi-agent software of Repast was built based on ER random network and WS small world network. A simulation was performed at different settings of social network structure and selection rules in source nodes. By analyzing the simulation results the dissemination efficiency of warning is obviously improved when the clustering coefficient is high or the source nodes are at a high level of connectivity.
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Key words:
- warnings /
- information dissemination /
- social networks /
- complex systems /
- adaptive systems /
- modeling
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