Network Visualization

Network visualization — sometimes referred to as graph visualization or link analysis — is the practice of creating visual depictions of connected data. Network visualization is used to identify relationships between disparate data points on a network, which can improve root cause analysis, performance visibility, and make IT teams more efficient. In many cases, network visualization refers to mapping network topology to understand the physical layout and current status of the network. Network visualization can be performed at many scales, whether for in-office devices or for data centers across a continent.

Network visualization can sometimes be used as a broad term and, besides referring to network mapping, in some cases may refer to the many methods of data correlation. In computer networking, visualization can refer to the process of aggregating data into visual charts and graphs to locate patterns, trends, and correlations between network data. These sorts of connections might otherwise go undetected in text-based formats.

Network visualization solutions are a very useful tool that provide critical visibility into network infrastructure. Leveraging network visualizations can improve efficiency, help with troubleshooting, and offer IT teams flexibility in how they can manipulate what can sometimes be complex data points. 

Compared to spreadsheets, inventory lists, and text-based reports, network visualization — from graphs and charts to topology maps — is generally easier for both admins and those outside the IT team to use and understand. In addition, network visualization is important because it allows IT teams to obtain a more robust knowledge of their networks with real-time, at-a-glance insights into the infrastructure and current performance. If a node is down, the information is available visually, whether on a map or highlighted on a chart. Additionally, IT teams can make better sense of critical information by viewing node-link structures in a visual setting, as this can streamline network analysis and lead to better capacity planning.