Authors: Egger Mielberg
In a system where there are tons of information of different types it is always hard and frequently impossible to tie the effect to the cause. There is also a challenge to find relevant data quickly, especially in case of absence of classification algorithm that is capable of working with different fields of business and science in parallel. We propose a mechanism for building a network of associative chains that are decentralized to each other. The network allows its participants to build quickly an associative chain from “effect-tocause”. This feature of the network is extremely useful for identification of a scam activity. The mechanism is based on two technologies, “Smart Transactions”  and “Proof of Participation Protocol” .
Comments: 12 Pages.
[v1] 2019-04-03 11:02:18
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