Node Grouping and Link Segregation in Circular Layout with Edge Bundling

Every industry is producing a huge amount of data today, which is analyzed and used for future predictions and making business decisions. Networked data can be analyzed node-link diagrams, which give different trends with different layouts to analyze network data. Many of these layouts have complex algorithms. Thus, construction of alternative layouts used is the topic of research for many organizations and industries. Many real-time examples require grouping of nodes, separation of links, simple layout, and abstract visuals of data. This paper proposes a technique which will tend to meet the above requirements of real data. The essence of this technique is the use of simple circular layout with node grouping and link segregation. View level abstraction is achieved with the concepts of edge bundling and node abstraction. Edge-bundling algorithm also reduces the clutter in the graph. Thus, above techniques will lead to viewing the networked data with new trends coming out by grouping nodes, link segregation, and compare data by focusing on different attributes of data at different levels of view (i.e. abstract and detailed).