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Algorithm of Innovation and the Network of Everything - Describing the Process
The method below is applicable in any case one would target to discover new open area or peer of interest in innovation in the field of discovery, engineering, development, problem solving. Applying the method below leads to success with very high probability! Technical solutions, medical research or innovation, problem solving in social networks or communities, infrastructural development or research... and the list is more or less endless!Method
- 1 Put down the question / req.
- 2 Find the networks, at least 6-12 networks
- 3 Find the peers of the networks 0, 1, 2, 3 - 0, -1, -2, -3 …
- 4 Rank the network significance with some number e.g. some N between 1 and 100
- 5 Find networks among NW1 P1 - NW2 P1 or P2 or P3 …
- 6 Rank the peers with some number between 1 - 10
- 7 Redo from 3. - 4. - 5.
- 8 Repeat.
After you get similar results from point 3 to 6 it is P=0.9 probabilty that you found a missing peer or peers (holes in definition) among filled in networks and peers.
And that is your new innovation! You invented something new that never existed!
To tune results, after 2-3 cycle involve a field specialist with the peers and the ranking!
(Side note for WEBBU.NET : See WEBBU.NET New Born Business - Business Plan pdf)
Enhanced method
Searching for networks and peers:
After found NW 2 after NW 1 use a simple method to describe the relation between NW1 and NW2.
After found Peer 1 of NW 2 after Peer 1 of NW 1 use a simple method to describe the relation between the Peers.
This description can vary.
Anomalities, similarities and characteristics among these descriptions will create reference points for future peers and networks.
Practical applications best shows the briliance of the AOI in the NOE in case the networks include AI classes with with be sohastic and benin events and facts. (e.g. Events in human history or psychology of certain class of social networks)…
The question / req:
- It is not a real, well defined question or requirement or point of interest. It is more like field of interest with a set of defined and / or undefined peers in existing networks. The NOE works like: a found reference point with helpers in related and / or connected networks and element / peers you will find new, missing peers or defined peers with inrelevant description of the surrounding relations!
- This last one is usually the most painful. In this case it means that something (a peer) already found / invented is not appropriate or not working like it should E.g:
Correct Peer1 with relation x — Correct Peer2 with relation y — Correct Peer3 with relation x
The changes in this case can result huge amount of effort / material / resource / property as it means you found a filled in hole in the network. It is already filled in but the peer is not compatibe (in the relation description) with other peers of the network or neibouring peers of the related / connected networks.
Tuning for success
Based on the relation find similar network and peer relations / anomalities / similarities in the already described and analized NOE. These analitics ususally result that unknown undiscovered network and peer connections get discovered. In edge cases we can pattern match some set of networks and peers based on the relation qualities.
Basically, everything and more is part of The Network including us as human beings! More, as this involves peers and areas we never got to know, never experienced!
The Network we live in
The method below is applicable in any case one would target to discover new open area or peer of interest in innovation in the field of discovery, engineering, development, problem solving. Applying the method below leads to success with very high probability! Technical solutions, medical research or innovation, problem solving in social networks or communities, infrastructural development or research... and the list is more or less endless!Basically, everything and more is part of The Network including us as human beings! More, as this involves peers and areas we never got to know, never experienced!
ALL RIGHTS RESERVED MATERIAL!
