Every type of database is a metaphor for the arrangement of information. The earliest mainframe databases arranged their contents in a simple, tree-like hierarchy. This had a number of drawbacks, ...

Today, graphs are used in a wide variety of government contexts. Graph databases have been deployed to address everything from managing global pandemics, improving urban planning and preventing fraud, ...

For almost 300 years, graph theory remained a mostly academic pursuit. But graphs have turned out to be an ingenious way of dealing with large volumes of data, and especially complex relationships ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Olson’s graphs are all worth taking a look at, by the way; they’re all interesting (which makes sense, because the data itself is interesting), and they present the information in a way that ...

Other age groups have also seen increases, however. Between 2010 and 2014, for example, the chlamydia rate grew by 58.6 per cent among 40-to-44-year-olds and and 70.5 per cent among 45-to-49-year ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

These charts show how much more often unvaccinated Albertans are being hospitalized and dying from COVID ... but looking at the data by both age and vaccination status reveals some stark comparisons.

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...