A network graph, also referred to as a network diagram or node-link diagram, is an effective visual tool for illustrating connections between various entities or nodes. This visualization method is valuable for depicting intricate relationships within a system involving multiple interconnected components. It proves especially useful for analyzing intricate systems characterized by numerous interdependent elements.
When the user needs to visualize and understand the relationships between different entities or nodes in a system.
E.g., To analyze transportation planning, where a network graph can visualize the connections between different modes of transportation.
To visualize the connections between different individuals and identify key influencers or social clusters within the social network.
Network Knowledge Graph: In this chart, nodes represent individual pieces of information or concepts, and the connections between nodes indicate relationships. It's useful for illustrating complex interconnections and dependencies within a dataset.
Concept Map: A concept map is a visual representation that links ideas or concepts using lines and connecting phrases. It's suitable for illustrating relationships between various concepts and how they relate to a central theme.
Hierarchical Knowledge Graph: This type of chart represents information in a hierarchical structure, where each level showcases different levels of detail. It's great for showing parent-child relationships and organizing concepts from broad to specific.
Users can change the height, width, top, and left. If the Initial Visibility option is unchecked, then the component won’t be visible at the first preview. Users can manage the max button to minimize and maximize the chart.
The user can enable the hierarchy layout by using the check box and select the suitable Hierarchy direction as well.
Users can set the following background properties for the Knowledge chart:
Gradient Rotation
Opacity
Gradient
Border
Border Color
Border Radius
Shadow
Shadow Color
Shadow Transparency
The user can set the Node shape, color, size, and various Font related properties using the Node Styles properties option.
Users can provide a style or modify the existing style to Edge by using this properties.
Users can enable or disable the title, insert title description, set various properties such as Title Box color, Font color, Font Style, Font Weight, Font Family, alignment, and select a Text decoration option using the Title properties.
Enable or disable sub-title, provide description for the sub-title, and set various Font related properties, alignment and text decoration using the Sub-Title properties.
Users can select various Export options, heading, sub-heading, Name of the exported file, and Global export type using the Export Options properties.
Navigate to the Node Styles section given under the appearance properties of the Knowledge chart.
Enable the checkbox given for Use Custom Shapes.
Click the Custom Shapes icon.
The Shape Selector window opens.
Select the Indicator Type using the drop-down menu. It can be based on Type or Value.
Select various Shapes for the range of types.
Click the Save option.
The user needs to provide the Range From and Range Up to limit while using Value option as indicator type.
The customized node shapes get added to the chart. The user may see it in the preview mode.
Check out the given walk-through on how to set Custom Node Colors in the knowledge Graph chart.
Navigate to the Node Styles section given under the appearance properties of the Knowledge chart.
Enable the checkbox given for Use Custom Colors.
Click the Custom Colors icon.
The Color Selector window opens.
Select the Indicator Type using the drop-down menu. It can be based on Type or Value.
Select various Colors for the range of types.
Click the Save option.
The user needs to provide Range From and Range Up to limit while using Value as the Indicator Type option.
The customized node colors get added to the chart. The user can see the changes in the Preview mode.
Download the given sample data and map it as mentioned below to plot your Knowledge Graph chart:
Select parent_label column as Source, child_label as Target, edge_label as Edge field. Drop the value and type fields respectively under the Value and Type headings given below to plot the size of the nodes.
