Unlock SEO Insights with Data Science: Visualising Your Website’s Internal Link Graph
I recently came across a fascinating video that mapped all of Wikipedia into a data-filled graph. The visualisation was not only stunning but also incredibly insightful, showing the complex web of links between articles. This inspired me to apply a similar technique to websites, aiming to create something equally useful for SEO professionals. Section 1: Inspiration from Wikipedia The original video showcased an impressive project that used data from Wikipedia dumps to create a comprehensive graph. By applying sophisticated algorithms like the Distributed Recursive Layout and Leiden community detection, the creators revealed the intricate link structure of Wikipedia. Watching this, I realised the potential for SEOs to gain similar insights into their own websites. Section 2: Why Map Your Website? Visualising a website’s internal link structure offers several benefits: Section 3: The Process Here’s a step-by-step guide to how I mapped my website: Section 4: Practical Benefits for SEOs SEOs can leverage these visualisations in several ways: Section 5: Getting Started To replicate this process, you need some basic knowledge of Python and access to the necessary libraries. For detailed code and step-by-step instructions, subscribe to access our premium content. Python Script Conclusion: Mapping your website using a graph approach can reveal hidden insights and opportunities for SEO improvement. If you’re interested in diving deeper, subscribe now to get access to the full code and additional resources.