Abstract. The analysis of network traces often requires to find the spots where something interesting happens. Since traces are usually very large data-sets, it is often not easy and time intensive to get an intuitive under-standing of what happens within a given trace. Through the use of suit-able data visualization techniques, it is possible for humans to identify noteworthy spots or characteristics of a trace much faster. Particularly interesting properties of a certain class of network traces are node inter-action dynamics, that is how the traffic matrix between nodes evolves over time and the pattern of messages exchanged between nodes. This paper presents some tools visualizing node interaction dynamics that were developed to assist n...
In this paper we provide a framework for analyzing network tra#c traces through trace-driven queuein...
In this paper, we present two approaches developed to visually analyze and find patterns in a commun...
Visualizing multivariate dynamic networks is a challenging task. The evolution of the dynamic networ...
The temporal dimension increases the complexity of network models but also provides more detailed in...
We propose a visual analytics approach for the exploration and analysis of dynamic networks. We cons...
Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighbor...
Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighbor...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
We introduce an approach for the interactive visual analysis of weighted, dynamic networks. These ne...
Monitoring host behavior in a network is one of the most essential tasks in the fields of network mo...
Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large...
The overall aim of visualization is to obtain insight into large amounts of data. Detection of patte...
The concept of networks has been important in the study of complex systems. In networks, links conne...
SUMMARY With the multiplication of attacks against com-puter networks, system administrators are req...
The visual exploration of large and complex network structures remains a challenge for many applicat...
In this paper we provide a framework for analyzing network tra#c traces through trace-driven queuein...
In this paper, we present two approaches developed to visually analyze and find patterns in a commun...
Visualizing multivariate dynamic networks is a challenging task. The evolution of the dynamic networ...
The temporal dimension increases the complexity of network models but also provides more detailed in...
We propose a visual analytics approach for the exploration and analysis of dynamic networks. We cons...
Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighbor...
Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighbor...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
We introduce an approach for the interactive visual analysis of weighted, dynamic networks. These ne...
Monitoring host behavior in a network is one of the most essential tasks in the fields of network mo...
Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large...
The overall aim of visualization is to obtain insight into large amounts of data. Detection of patte...
The concept of networks has been important in the study of complex systems. In networks, links conne...
SUMMARY With the multiplication of attacks against com-puter networks, system administrators are req...
The visual exploration of large and complex network structures remains a challenge for many applicat...
In this paper we provide a framework for analyzing network tra#c traces through trace-driven queuein...
In this paper, we present two approaches developed to visually analyze and find patterns in a commun...
Visualizing multivariate dynamic networks is a challenging task. The evolution of the dynamic networ...