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

This paper enhances the Timed Influence Nets (TIN) based formalism to model uncertainty
in dynamic situations. The enhancements enable a system modeler to specify persistence …

For effective human-robot interaction, a robot should be able to make prediction about future
circumstance. This enables the robot to generate preparative behaviors to reduce waiting …

A hybrid operation network model is proposed to describe and evaluate a missile defense
system. More specifically, the network model provides a formal modeling approach based …

The paper presents a heuristic approach for the problem of finding the best or close-to-best
sets of actions in uncertain situations modeled by influence nets. The approach enhances …

Dynamic Influence Nets: An Extension of Timed Influence Nets for Modeling Dynamic
Uncertain Situations Page 1 6/27/2005 1 SAL System Architectures Laboratory Dynamic …

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 …

Facing asymmetric threats in a network centric environment, modern naval command and
control systems confront increasingly demanding challenges in data fusion. It is very …

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 …