Since the beginning of link explorer, you’ll get the luxury of less filtered data, and clearer tools to help with creating an identity and counter the manipulation. While ti can’t be protected completely, detecting the spam and the links that are bad is important. Now, this is a simple practice. While there is a lot of math that’s used in measuring, testing, and building, the general idea is clearly understandable. The first step is you get good sample links, and from there, you take any of those random links, and then figure out what’s expected or normal, and then finally you check out the outliers to see if those are corresponding with whatever is important, such as the sites that are manipulating the link graph, or sites that are really good.

First, let’s talk about link decay, which is the natural occurrence so if links dropping or changing the URLs of such. For example, if you get links after you finish a press release, some of those will disappear as they get archived or removed, and if you get a link from a blog post, you might expect to have the homepage link to this until it’s pushed to the second or third page by the newest post.

But, what if you bought these and own a large number of domains and they link to one another? They don’t decay, and having control over the inbound links means that you can keep them from decaying. This can differ based on the sites that have natural link profiles, and the methodology is first done by figuring out what’s natural, and what the decay rate looks like, and from there, you go get a bunch of sites and record how fast the links tend to be deleted.  And from there, you compare that to the total amount of links, and then look at the abnormalities. In that case, it’s pretty easy, and you essentially look at the lowest decay rate and then sorted by the highest domain authority to see the full picture.

Another edition is the use of spam score, which is link-blind and predicts the likelihood of a domain to be indexed. The higher, the worse.  This is a good way to find out link patterns along with manipulation schemes, and also some simple methodology of using random URLs in order to figure out what a normal backlink looks like, and the introduction of spam scores is pretty nice, and in turn, you can use that in order to figure out the natural links that are there, and anything that isn’t natural, and how to make the links look less spammy.

Using this will allow you to change the state of links, and how you’re able to link items. Doing this, in turn, will build your repute, and help you grow in terms of your business, and you’ll be able to, from this alone, create a better means to prevent any spam links.