We address the problem of ranking influential nodes in complex social networks by
estimating diffusion probabilities from observed information diffusion data using the popular …

Influence networks are Bayesian networks whose probabilities are approximated via expert
provided influence constants. They represent a modeling and analysis formalism for …

We consider the scenario1 where a sequence of actions needs to be initialized towards the
materializing of some desirable effects. As depicted in Figure 1, each action is supported by …

为分析复杂系统关键事件, 将系统事件序列图转换为影响网图, 通过着色Petri 网进行建模和仿真,
采用影响网分析系统事件的敏感性并搜索关键事件集合. 统计着色Petri 网模型的仿真输出结果 …

A process that can be used to assist analysts in developing domain specific Timed Influence
Nets (TIN) is presented. The process can be used to represent knowledge about a situation …

Abstract Models, created using different modeling formalisms or techniques, usually serve
different purposes and provide unique insights. While each modeling technique might be …

The most recent client-server version of Pythia modeling software is presented. Pythia is a
software implementation of a Bayesian Net framework and is used for course of action …

Özet Etki Odaklı Harekât, düşman üzerinde istenen stratejik çıktıyı elde etmek için, tüm
askeri ve askeri olmayan kabiliyetlerin; taktik, operatif ve stratejik seviyede, sinerji …

Objective• Improve the understanding of how tactical actions affect the infrastructure and the
civil environments in an area of operation• Broaden the capabilities of models used to …