Download Interactive Visualization of Large Networks: Technical by Frank van Ham PDF

By Frank van Ham

Modern-day desktops let us seize huge, immense datasets. in lots of instances this knowledge represents a community of connections among entities, such friendship styles in social networks, communique networks or organic pathways. totally examining those monstrous community datasets is demanding on a few degrees and lots of difficulties stay unsolved. This publication addresses the matter from the viewpoint of data visualization, which makes use of pcs to generate interactive photographs of the info less than research. It offers an summary of the state-of-the-art, describes capability pitfalls and info a quantity attainable recommendations for various software components.

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3D graphics look attractive and interesting. Users will initially be more inclined to work with a ‘sexy’ looking interface. Apart from these conceptual advantages, 3D visualizations are often also easy to implement because most 2D graph layout methods can be easily extended to 3D and the implementor is protected from the low-level 3D implementation issues by well-structured 3D API’s coupled with powerful computer graphics hardware. An early successful example of a 3D visualisation are conetrees [143] in which the childnodes of a parent p are distributed equally over the base of a virtual cone with its apex at p.

We can only render 2D projections of 3D scenes. This makes it difficult to assess the structure of the object without additional cues, such as motion. • It is difficult to optimize aesthetics such as edge crossings, because of the infinite number of possible viewing directions. For the same reason it is very easy for the user to lose orientation when navigating. • Because most common input devices are 2D, navigating in 3D space is more difficult. • Our retina is inherently a 2D sensor [174], and is more susceptible to left-right and up-down cues than front-back cues.

Why not make use of this ability and create 3D visualizations? • 3D graphics look attractive and interesting. Users will initially be more inclined to work with a ‘sexy’ looking interface. Apart from these conceptual advantages, 3D visualizations are often also easy to implement because most 2D graph layout methods can be easily extended to 3D and the implementor is protected from the low-level 3D implementation issues by well-structured 3D API’s coupled with powerful computer graphics hardware.

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