Matteo Pasquinelli reckons the basis for the belief that PageRank has a social component lies in the idea of attention economy. With attention economy, value is placed on products that receive a greater amount of human attention and the results at the top of the PageRank garner a larger amount of focus then those on subsequent pages. The outcomes with the higher PageRank will therefore enter the human consciousness to a larger extent. These ideas can influence decision-making and the actions of the viewer have a direct relation to the PageRank. They possess a higher potential to attract a user's attention as their location increases the attention economy attached to the site. With this location they can receive more traffic and their online marketplace will have more purchases. The PageRank of these sites allow them to be trusted and they are able to parlay this trust into increased business.
You can confer some of your site's reputation to another site when your site links to it. Sometimes users can take advantage of this by adding links to their own site in your comment sections or message boards. Or sometimes you might mention a site in a negative way and don't want to confer any of your reputation upon it. For example, imagine that you're writing a blog post on the topic of comment spamming and you want to call out a site that recently comment spammed your blog. You want to warn others of the site, so you include the link to it in your content; however, you certainly don't want to give the site some of your reputation from your link. This would be a good time to use nofollow.
The mathematics of PageRank are entirely general and apply to any graph or network in any domain. Thus, PageRank is now regularly used in bibliometrics, social and information network analysis, and for link prediction and recommendation. It's even used for systems analysis of road networks, as well as biology, chemistry, neuroscience, and physics.
And if you really want to know what are the most important, relevant pages to get links from, forget PageRank. Think search rank. Search for the words you’d like to rank for. See what pages come up tops in Google. Those are the most important and relevant pages you want to seek links from. That’s because Google is explicitly telling you that on the topic you searched for, these are the best.
“Google itself solely decides how much PageRank will flow to each and every link on a particular page. In general, the more links on a page, the less PageRank each link gets. Google might decide some links don’t deserve credit and give them no PageRank. The use of nofollow doesn’t ‘conserve’ PageRank for other links; it simply prevents those links from getting any PageRank that Google otherwise might have given them.”
Black hat SEO attempts to improve rankings in ways that are disapproved of by the search engines, or involve deception. One black hat technique uses text that is hidden, either as text colored similar to the background, in an invisible div, or positioned off screen. Another method gives a different page depending on whether the page is being requested by a human visitor or a search engine, a technique known as cloaking. Another category sometimes used is grey hat SEO. This is in between black hat and white hat approaches, where the methods employed avoid the site being penalized, but do not act in producing the best content for users. Grey hat SEO is entirely focused on improving search engine rankings.
We have a saying that “good data” is better than “big data.” Bid data is a term being thrown around a lot these days because brands and agencies alike now have the technology to collect more data and intelligence than ever before. But what does that mean for growing a business. Data is worthless without the data scientists analyzing it and creating actionable insights. We help our client partners sift through the data to gleam what matters most and what will aid them in attaining their goals.