In this thesis, we examined approaches to improve the use of network diagrams for networks with different sizes. We proposed an optimal layout for small networks that can easily adapt to different aesthetics. For large networks, we proposed a summary representation that provides enough insight into the structure of the network to perform overview tasks, but hides details that could potentially overwhelm the users. We also identified a threshold with respect to network size, beyond which the use of such summary representations is recommended
<p>Diagram depicting the network structures of each of the six network sizes used in this study.</p
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
For decades, researchers in information visualisation and graph drawing have focused on developing t...
The way we choose to draw the networks on the plane (layout) is found to be important for the readab...
Network data structures have been used extensively for modeling entities and their ties across such ...
One challenge in node-link diagrams is how to efficiently provide a node placement or layout that wi...
This text aims to discuss the problem of scalability that severely affects networks that are charact...
Network science has become increasingly popular over the last several years as people have realized ...
Network data plays a vital role in much of today's visualization research. However, there is no opti...
Graph theory is an important area in mathematics. A network is a graph-based representation which re...
Hundreds of different representations of networks have been produced for different purposes. Many ar...
For decades, researchers in information visualisation and graph drawing have focused on developing t...
Graph theory is an important area in mathematics. A network is a graph-based representation which re...
For decades, researchers in information visualisation and graph drawing have focused on developing t...
We propose a new layout paradigm for drawing a nested decomposition of a large network. The vi...
<p>Diagram depicting the network structures of each of the six network sizes used in this study.</p
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
For decades, researchers in information visualisation and graph drawing have focused on developing t...
The way we choose to draw the networks on the plane (layout) is found to be important for the readab...
Network data structures have been used extensively for modeling entities and their ties across such ...
One challenge in node-link diagrams is how to efficiently provide a node placement or layout that wi...
This text aims to discuss the problem of scalability that severely affects networks that are charact...
Network science has become increasingly popular over the last several years as people have realized ...
Network data plays a vital role in much of today's visualization research. However, there is no opti...
Graph theory is an important area in mathematics. A network is a graph-based representation which re...
Hundreds of different representations of networks have been produced for different purposes. Many ar...
For decades, researchers in information visualisation and graph drawing have focused on developing t...
Graph theory is an important area in mathematics. A network is a graph-based representation which re...
For decades, researchers in information visualisation and graph drawing have focused on developing t...
We propose a new layout paradigm for drawing a nested decomposition of a large network. The vi...
<p>Diagram depicting the network structures of each of the six network sizes used in this study.</p
Visualizing network data is applicable in domains such as biology, engineering, and social sciences....
For decades, researchers in information visualisation and graph drawing have focused on developing t...