The science behind social connection...

Had chance to catch a breath between the run & long since I posted so giving it a write.. 

Whenever we talk of social media and social connection, we are presented with this lucid picture of:

• a bunch of posts 
• a bunch of likes
• comments
• followers  

Although when looked at, these are just tools to collect  information in order to create an 'engine' which can help drive a bigger vehicle.

So what's this vehicle we are talking about - let's explore a bit... & I dare forbid myself to use the word - intelligence or anything but what it means once we claim it is still artificial.

Humans for long have loved the idea of being a point of focus .. and the whole picture which is shown to you is the interaction which tries to gauge - 'what people say or think about you or how you present yourself to others or how they present to you' and this is what forms the basis of human to human behaviour. 

Behaviour - is something which gives a prediction of a person or a group of persons approach based on a situation. Analysing behaviour via interaction between different groups of connected people via social media is the basis of understanding how that behaviour functions within a group. 

It's simple math sometimes whereas at other times it's complex. A behaviour pattern can form gradually within a group and might take some time to be consistent but one thing is certain, after subjecting a group or person to a similar situation multiple number of times the behaviour becomes somewhat predictable.

So how does this work? 

Well, for one in the start - a situation is created by the person themselves by expressing a view and later there would be a reaction to the view, the more reaction, the better prediction. In an active group, with a high reaction quotient, it might be fairly easy to predict an outcome of a situation by predicting a series of behaviour driven reactions of people in the group. On another hand, in a relatively inactive group, it might again be fairly easy to predict the behaviour of the group by predicting the outcome of a situation affected by the few active participants. These are basically the easily predictive realms of a group.

Well, what does that mean? It means that in a group which can be easily predicted is good to be eligible for 2nd stage in group dynamics & that's called as situational control - wherein you create a situation to control the group behaviour - this is the reverse of the first phenomena where the probability of accuracy  factor and confidence is high.

Any engine which can do the above math correctly can be used to inject situations to create highly probabilistic outcomes, and thereby in due course of time can go into the 3rd stage which is injecting behaviours.

How does injecting behaviour work?  This in turn starts to give in a situation and feed data with respect to a situation to drive the behaviour not of an individual but of the group as a whole and in turn start creating a ripple affect, it works silently on the subconscious level and before the group is aware - its already reacting in accordance with the injected behaviour.

This kind of behaviour injection coupled with an intelligent engine can be used in a reverse feedback loop to guide the engine to decision based on best statistical and actual data available considering the probability of behavioural outcome confidence for a group.

Well, now it's starts getting interesting - doesn't it? Probably when you realise a machine can start controlling the way a heard or a group reacts and you start to understand the dynamics involved as to why you need to think quickly and try to interject that pattern - voila - here's comes the need of something called as - 'neurallink' & breaking patterns.

What are breaking patterns? Well, talked about patterns of group behaviour which are easily predictable but some groups are dynamic with the individual subjects establishing a random pattern of activity which can cause the probabilistic confidence levels to skew often, that's one breaking pattern. I really find breaking patterns as very interesting because in any intelligent pattern formation breaking patterns can be used both to control as well as to reform the thought pattern of a group. We will explore this probably in my next post. Also, since we didn't go through any examples, we can discuss some examples & how we can throw in security enabling patterns within a group dynamic of social interaction.