What is clustering in Bubblemaps?

A key feature of the Bubblemaps tool (BMT) is clustering. This mechanism allows grouping wallets that likely belong to one person or organization based on their transactional behavior. Instead of showing each address separately, Bubblemaps combines them into colored 'bubble' clusters, making the connections between them obvious.

How does clustering work?

Clustering in Bubblemaps operates on a simple yet effective principle. If two or more wallets regularly transfer funds to each other, Bubblemaps identifies these connections and groups them together. This process allows for quick identification:@Bubblemaps.io

Project teams and founders: Often, the project team uses multiple wallets to manage funds, pay salaries, and conduct other operations. Clustering helps to see how many tokens the team holds, which is a key factor in assessing decentralization.

Large investors (whales): The tool can reveal that one 'whale' uses dozens or even hundreds of wallets to hide their true share of tokens.

Manipulation schemes: Coordinated actions such as 'pump-and-dump' leave a noticeable trace in the form of clusters. The bubble map allows tracking transfers between wallets involved in the scheme and detecting potential risks in advance.

Advantages of clustering

Clarity: Instead of analyzing thousands of lines of transactions, you can see the whole picture on one visual map.

Efficiency: Clustering significantly saves time, allowing potential threats to be identified in mere seconds.

Increased transparency: Thanks to clustering, blockchain data becomes clearer for a wider audience. This helps investors make more informed decisions and the community better understand projects.

Bubblemaps on Binance

The integration of Bubblemaps on Binance can change the approach to market analysis. Investors will be able to quickly check whether a new project is too centralized and whether it is controlled by a limited group of addresses.

Clustering in Bubblemaps is not just a feature; it is a new standard for data analysis in a world where transparency is a key factor.#bubblemaps

$BMT