We present a web-based network visual analytics plat-form called GRAPHVIS that combines interactive visu-alizations with analytic techniques to reveal important patterns and insights for sense making, reasoning, and decision-making. The platform is designed with sim-plicity in mind and allows users to visualize and ex-plore networks in seconds with a simple drag-and-drop of a graph file into the web browser. GRAPHVIS is fast and flexible, web-based, requires no installation, while supporting a wide range of graph formats as well as state-of-the-art visualization and analytic techniques. In particular, the multi-level network analysis engine of GRAPHVIS gives rise to a variety of new possibil-ities for exploring, analyzing, and understanding...
Graphs and flow networks are important mathematical concepts that enable the modeling and analysis o...
Traditional network visualization tools inherently suffer from scalability problems, particularly wh...
Analysts need to effectively assess large amounts of data. Often, their focus is on two types of dat...
This paper presents a new interactive platform for visual analytics of large networks and graphs. Th...
Abstract. This paper presents a new interactive platform for visual analytics of large networks and ...
NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual...
Data visualization are techniques to process dataset into a visual object for the users to view it g...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or a...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Visual Analytics is the science of analytical reasoning through visual interaction. Graphs are ubiqu...
The visual analysis of complex networks is a challenging task in many fields, such as systems biolog...
The visual analysis of complex networks is a challenging task in many fields, such as systems biolog...
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such d...
Network analysis is an important task in a wide variety of application domains including analysis of...
Graphs and flow networks are important mathematical concepts that enable the modeling and analysis o...
Traditional network visualization tools inherently suffer from scalability problems, particularly wh...
Analysts need to effectively assess large amounts of data. Often, their focus is on two types of dat...
This paper presents a new interactive platform for visual analytics of large networks and graphs. Th...
Abstract. This paper presents a new interactive platform for visual analytics of large networks and ...
NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual...
Data visualization are techniques to process dataset into a visual object for the users to view it g...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or a...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Visual Analytics is the science of analytical reasoning through visual interaction. Graphs are ubiqu...
The visual analysis of complex networks is a challenging task in many fields, such as systems biolog...
The visual analysis of complex networks is a challenging task in many fields, such as systems biolog...
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such d...
Network analysis is an important task in a wide variety of application domains including analysis of...
Graphs and flow networks are important mathematical concepts that enable the modeling and analysis o...
Traditional network visualization tools inherently suffer from scalability problems, particularly wh...
Analysts need to effectively assess large amounts of data. Often, their focus is on two types of dat...