This week I continued reading about PageRank and started coding a program in Python that will calculate the importance of a page from a matrix of nodes. I also started learning Python 3. I learned Python 2 over the summer so it should be able to learn Python 3 fairly quickly.
Google PageRank is a system that was first developed at Stanford University as a doctoral research project by Larry Page. PageRank works by counting every link to a website as a vote. Your website is put up against every other website with similar content and keyword in a popularity contest. The website with the most links, as well as the most valuable link, gets a higher rank in popularity. Kind of like this:
Therefore, it is important for a website to acquire backlinks from other websites that are essentially giving a vote of confidence to the website. Every vote or link to the site will help determine the value of the site. However, it is not just number of links, Google looks at the website that offers links to other websites. A backlink from a more important page that is high in popularity itself will count more toward a higher ranking for a website.