Ethereum Graphs with Aigents
If you have already enjoyed using Steemit Graphs with Aigents platform or if you are fan or user of Ethereum blockchain, you can enjoy trying our latest release.
Since now, Aigents profile makes it possible to associate Ethereum account with it, so you can use Aigents Graphs to track activity on it, render your financial environment, figure out social and financial patterns in it.
In order to do so, Aigents is using Infura infrastructure to update daily activity of Ethereum blockchain so you can pick any account and explore graph connectivity and patterns around it.
You can see "typical payees" at the top, "typical payers" at the bottom, so vertical position and color saturation on graph corresponds to financial importance of given correspondent for both perspectives at the same time. Widths of connecting arrows correspond to directions of transactions and amount of funds transferred in given time frame.
In the current alpha version, graphs are studied in one handshake range at a time, so you need to click mouse or tap screen on an account in the graph to keep graph exploration. This is partially limited with our hardware processing capacities but may be improved later.
Another restriction of this alpha release is limit on possible time scoping. At the moment, only 1 day and 1 week time scopes are supported, counted from current date. All the rest is restricted to configured hard cap which is set to 10 days now but may be relaxed when we grow our hardware resources.
Also, we don't compute account similarity for Ethereum Graphs at the moment, as we do that in Steemit Graphs based on textual content similarity. We plan to do that in the future based on shared corresponding accounts rather than texts.
For interested parties, our Aigents solution is freely available for evaluation purposes.
Further, we are planning to release beta version of service and platform with described improvements and move forward to implementation of Reputation Agency concept.
More information on Aigents Graphs can be found in the following video.
Stay tuned for more details on our news channels:
https://www.facebook.com/aigents
https://www.youtube.com/aigents
https://plus.google.com/+Aigents
https://medium.com/@aigents
https://steemit.com/@aigents
https://golos.blog/@aigents
https://minds.com/aigents
https://vk.com/aigents
https://aigents.com
Reputation systems for liquid democracy in mixed human-computer environments
The modern world is represented by computer networks that unite billions of people and devices with a high degree of connectivity, the speed of information transmission and the breadth of its distribution. In these conditions, the age-old problems of democratic governance, public consensus and trust in information and its sources are becoming vital for any communities - both people and distributed computing systems, as well as ecosystems that combine both. Reliability of determining the reputation of participants in systems is the key to the sustainable development of communities and requires new solutions.