In the vast expanse of the internet, there exists a hidden underworld known as the darknet. Within this secretive realm, illegal activities thrive, and darknet markets serve as the hub for various illicit transactions. But have you ever wondered what determines the ranking or visibility of these clandestine marketplaces?
The Importance of Pagerank
Proceedings of the second European network intelligence conference (ENIC)
Pagerank, a term coined by Google co-founder Larry Page, refers to an algorithm that evaluates the importance and relevance of webpages. While initially designed for the surface web, it also applies to the darknet. Pagerank plays a crucial role in determining the visibility and prominence of websites, including darknet markets, within search engine results.
All three experts were asked to independently rank each of the HS in the dataset based on the availability of illicit drug listings on HS, the severity of available drugs and the frequency of listings. This generates three rankings from each of the independent experts. Since the problem of ranking is very subjective and each of the expert perceptions on the drug harms may vary so the evaluation may be biased if we consider ranking from any of the single experts.
Factors Affecting Darknet Market Pagerank
Similar to their surface web counterparts, darknet markets are subject to a variety of factors that influence their Pagerank. These factors include:
Darkweb sites (Common)
- Number of Incoming Links: Just like on the surface web, the number and quality of incoming links play a significant role in determining a darknet market’s Pagerank. The more reputable and relevant links pointing towards a marketplace, the higher its ranking.
- Marketplace Activity: Active participation within the darknet community, such as frequent updates and engaging with users, can positively impact a market’s Pagerank. The more dynamic and thriving a marketplace is, the more likely it is to achieve a higher ranking.
- User Reviews and Ratings: In the absence of traditional marketing channels, user reviews and ratings significantly influence a darknet market’s Pagerank. Positive feedback and high ratings indicate trustworthiness, which translates into better visibility within the darknet community.
- Security Measures: Darknet markets that prioritize user privacy and security are often highly regarded and, in turn, receive a boost in their Pagerank. Features such as encryption, secure communication channels, and reliable escrow services contribute to a marketplace’s overall ranking.
The preprocessed data in the form of tokens received from the first step contains other words and product names along with the names of illicit drugs. Drug name recognition (DNR) shall be applied to recognize the name of drug-related products. DNR is a particular type of Named Entity Recognition (NER) task to extract names of drugs from unstructured text.
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It is important to note that search engine optimization (SEO) strategies commonly used on the surface web, such as keyword density and metadata optimization, hold little significance within the darknet. The hidden nature of these marketplaces and the absence of conventional search engines render such techniques ineffective.
The Elusive Nature of Darknet Market Pagerank
Unlike the surface web, where search engines like Google openly display Pagerank, darknet marketplaces operate within a decentralized and obscure environment. As a result, determining the Pagerank of a specific darknet market becomes an elusive task. The algorithm itself remains undisclosed, and the lack of transparency makes it challenging to assess the exact Pagerank of these hidden platforms.
Furthermore, the dynamic nature of the darknet, with markets frequently appearing and disappearing, adds another layer of complexity to understanding Pagerank. Markets may gain traction quickly based on their reputation or unique offerings, while others may fade away, impacting their respective rankings organically.
In Conclusion
The Pagerank of a darknet market plays a crucial role in its visibility and success within the secretive realm of the dark web. Factors such as incoming links, marketplace activity, user reviews, and security measures all contribute to influencing these rankings. However, due to the elusive and decentralized nature of the darknet, determining the exact Pagerank of a specific marketplace remains a challenging endeavor.
As darknet markets continue to evolve and adapt, understanding the intricacies of their Pagerank algorithm becomes increasingly important for both users and operators navigating this hidden landscape.