Internal linking strategy in SEO Fundamentals - Time & Space Complexity
When building an internal linking strategy, it's important to understand how the number of links affects website navigation speed and search engine crawling.
We want to know how the effort or cost grows as the number of pages and links increases.
Analyze the time complexity of the following simplified internal linking process.
// For each page on the site
for each page in website:
// For each link on the page
for each link in page:
// Search engine crawler visits linked page
visit(linked_page)
// This simulates crawling all internal links
This code simulates a search engine crawler visiting every linked page from each page on the website.
Look at what repeats in this process.
- Primary operation: Visiting linked pages from each page.
- How many times: For every page, it visits all links on that page.
As the number of pages and links grows, the total visits increase roughly by multiplying pages and links per page.
| Input Size (pages) | Approx. Operations (visits) |
|---|---|
| 10 pages, 5 links each | 50 visits |
| 100 pages, 5 links each | 500 visits |
| 1000 pages, 5 links each | 5000 visits |
Pattern observation: The total visits grow proportionally to the number of pages times the average links per page.
Time Complexity: O(n * m)
This means the effort grows in proportion to the number of pages (n) multiplied by the number of links per page (m).
[X] Wrong: "Adding more links on a page does not affect crawling time much."
[OK] Correct: Each additional link means more pages to visit, so the total work grows with the number of links.
Understanding how internal linking affects crawling effort helps you design websites that are easy to navigate and efficient for search engines to index.
"What if the number of links per page varies widely instead of being constant? How would that affect the time complexity?"