The demographic model I have developed is a "forked" weapon for online business marketing solutions. I use the term forked because although the inputs are identical at the start of the Algorithm, the equation changes somewhere near the middle to provide two very different solutions. One solution will give a static demographical analysis of population (who is using what, where and how). The other utilises more of the information entered at the start of the algorithm to address the dynamic properties (a forecast for future trends).

Both have outstanding uses. the static model, named SIPAX (pronounced sigh-packs) from the acronym "Static Identification of Population at Advance X-over". This means the model resolves to a solution not necessarily of today's usage but to a mid-point where the population internet usage peaks and troughs immediately after the release of a society specific internet advancement ( new browser releases, internet access charge alterations, internet related government statements, law changes....and so on). This point is used because of its linear timeline properties.

If we bear in mind that websites can be re-modelled  in a matter of days or even hours, SIPAX becomes a powerful instrument in the creation of demographical specific websites.

The dynamic Model, named the DEPIUM from the acronym "Dynamic Electronic Population Internet Usage Model" This is pretty self explanatory. Note that the dynamic model (DEPIUM) predicts internet activity at given timelines, in particular at future "Advance Crossovers".

"So what is the information used for SIPAX and DEPIUM?"

The next page will look at input data for building internet usage demographic models.

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