facets of data the machine data shown in figure would fit nicely in classic table-structured database this isn' the best approach for highly interconnected or "networkeddatawhere the relationships between entities have valuable role to play graph-based or network data "graph datacan be confusing term because any data can be shown in graph "graphin this case points to mathematical graph theory in graph theorya graph is mathematical structure to model pair-wise relationships between objects graph or network data isin shortdata that focuses on the relationship or adjacency of objects the graph structures use nodesedgesand properties to represent and store graphical data graph-based data is natural way to represent social networksand its structure allows you to calculate specific metrics such as the influence of person and the shortest path between two people examples of graph-based data can be found on many social media websites (figure for instanceon linkedin you can see who you know at which company your follower list on twitter is another example of graph-based data the power and sophistication comes from multipleoverlapping graphs of the same nodes for exampleimagine the connecting edges here to show "friendson facebook imagine another graph with the same people which connects business colleagues via linkedin imagine third graph based on movie interests on netflix overlapping the three different-looking graphs makes more interesting questions possible lucy elizabeth guy liam kim jack carlos barack myriam maria florin er william john figure friends in social network are an example of graph-based data graph databases are used to store graph-based data and are queried with specialized query languages such as sparql graph data poses its challengesbut for computer interpreting additive and image datait can be even more difficult