The benefits of graph visualization

Connected data is all around us – financial transactions, communications records, and IT networks, to name a few. One of the primary benefits of graph visualization is that it helps you reveal the unexpected connections in complex data that your business needs to understand.

From Fortune 500 corporations to governments and small businesses, we’ve helped over 300 customers develop powerful graph visualization applications. Our graph visualization software can visualize data from virtually any source and turn it into valuable insight.

In this post we’ll demonstrate the other benefits of graph visualization and why it should be a core part of your web application.

Why graph visualization?

Graph visualization, sometimes called ‘network visualization’ or ‘link analysis’, is the process of visually presenting networks of connected entities using a node-link model. It enables analysts to intuitively identify trends, outliers and patterns of behavior, helping them make the right decisions, fast.

A simple node-link model
Why graph visualization? Because everyone instantly recognizes its simple node-link model.

Visualizing data in this way is sometimes overlooked or viewed as a non-essential. But when you understand the benefits of graph visualization, you’ll see it as a must-have and not a nice-to-have. It’s the most effective way to uncover, explore, understand and communicate insight from complex data.

Let’s see how.

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The benefits of graph visualization

1. It’s intuitive

There are many ways to present data to your users, but the node-link structure instantly makes sense, even to people who’ve never worked with graphs before.

This chart, for example, represents a network of businesses and people associated with Donald Trump. Even someone with no data analysis experience can follow the connections and pick out interesting patterns.

Read this blog for more on how we used graph visualization to explore the TrumpWorld dataset.

Why graph visualization? Because it makes it easier for analysts - even inexperienced ones - to recognize patterns in complex networks like the TrumpWorld dataset.
Why graph visualization? Because it makes it easier for analysts – even inexperienced ones – to recognize patterns in complex networks like the TrumpWorld dataset.

With graph visualization, it’s easy to explore relationships and uncover trends, insights and network structures in graph data. This means your analyst tools can be used by the widest possible audience.

2. It’s flexible

The node-link model of graph visualization can be applied to pretty much any dataset. As long as there’s an interesting relationship in your data somewhere, you’ll find value in graph visualization.

Here, the KeyLines SDK uses the GitHub API to visualize how Neo4j built and maintained a project – data that wouldn’t conventionally be presented as a graph. See our Graphing GitHub blog for more on how we did this.

Why graph visualization? Because it brings a new dimension to your data, like this unique take on how Neo4j built and maintained a project.
Why graph visualization? Because it brings a new dimension to your data, like this unique take on how Neo4j built and maintained a project.

Whether your users need to visualize email communication, credit card fraud, IT networks, or data that isn’t inherently ‘graphy’ – graph visualization can help. It brings a new dimension to any dataset, revealing insight that would otherwise go undiscovered.

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3. It’s fast

Our brains struggle with processing data, but are great at spotting patterns if the data is presented in a tangible format. Armed with visualizations, we can spot trends and outliers very effectively.

For example, in this chart – representing email data collected by US federal investigators during the Enron collapse – we can quickly identify patterns in the network. Influential nodes are sized larger, making them stand out instantly, and clusters of closely connected nodes are easy to spot.

Visualization of the Enron email data
Why graph visualization? Because it helps your users find answers fast.

Integrating graph visualization into your web application will help your users gain insight into their data quickly. Analysts often need to make fast decisions, based on a deep understanding of data. Graph visualization empowers them to do that with confidence.

4. It’s insightful

Exploring network data interactively allows users to gain deeper knowledge, understand context and ask more questions, compared to static visualization.

The example below uses KeyLines to show a corporation’s IT network. Exploring the data interactively and incrementally uncovers insight that would be impossible to see in a flat, tabular format without losing context or detail.

Spot alerts with graph visualization
Why graph visualization? Because it uncovers insight that’d be hard to see in a list of rows and columns.

Make graph visualization a core part of your web application

Now that we’ve shown some of the high-level benefits of graph visualization you’re probably ready to give it a go. There are plenty of reasons why our graph visualization toolkit technology is the right choice.

Ready to supercharge your data analysis with graph visualization? Sign up for a free trial.

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