XDAG

Directed acyclic graphs are a general category in graph theory, computer science and mathematics which essentially constitute a topological ordering where vertices (e.g., a nodes, tasks or events) are coupled with edges (directed arrows, dependency relationships or transactions) in an asynchronous fashion (nodes cannot loop back to themselves but the flow goes in one direction, i.e. directed).
DAGs are applied in modeling many kinds of information where collections of events must be represented in how they influence each other (probabilistic structures in Baysian networks, records of historical data, distributed revision control systems, etc.)
This departures from the paradigm of blockchain technology in that the blockchain fabric operates by chaining flat sequences of lists and grouping them in blocks. With blockchain, every block references the one before and including it, which leads to bottlenecks&nbsp;when too many transactions begin arriving too frequently.
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Dagger (XDAG) is another such recently launched project (mainnet was deployed on January 5, 2018) which allows for CPU/GPU mining and somewhat similar to other such architectures, couples blocks, transactions and addresses in a single unit.
<a href="https://www.coinbureau.com/education/directed-acyclic-graphs-dags/" rel="noopener noreferrer nofollow">https://www.coinbureau.com/education/directed-acyclic-graphs-dags/</a>

Everything You Need to Know About Directed Acyclic Graphs (DAGS)

XDAG

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