Directed Acyclic Graph (DAG)

Understanding Directed Acyclic Graph (DAG)

A Directed Acyclic Graph (DAG) is a type of data structure that comprises vertices and edges. Unlike a blockchain, a DAG does not consist of blocks. Instead, transactions are represented as vertices and are stacked on top of one another. Similar to a blockchain, nodes submit transactions to the DAG and must complete a Proof-of-Work task to do so.

In order for a new transaction to be accepted onto the network, it must reference previous transactions, similar to how blocks on a blockchain reference previous blocks. When a transaction is referenced by another transaction, it is considered confirmed. To achieve full confirmation, a transaction must be referenced by subsequent transactions.

An algorithm determines the tip on which a new transaction will be built. Tips with more confirmations have a higher likelihood of being selected for building.

DAGs offer several advantages. They facilitate high transaction speeds as processing is not constrained by block creation. Additionally, there are no transaction fees or miners, resulting in significant environmental benefits.

However, DAGs also have notable drawbacks. They are not completely decentralized like blockchains, and their utilization in cryptocurrency contexts is still in its early stages. Consequently, DAGs are primarily employed to initiate a network rather than serve as a foundation for a stable and long-lasting network.