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5.1 A Context Driven Topology is like a person, each one is unique, born, and was not here before. Even if each individual shares preferences and characteristics with other people, they have their own age and circumstances. Even twins sharing practically the same lifetime and most circumstances rarely behave the exact same predictable way. A Context Driven Topology has a life and interacts with or influences others even if they never meet. Some day the person will die, it is not fair when they are taken away too early or linger too long. They will be remembered by people who knew them, people they influenced, they may have children and grandchildren. There are unique traces that are not the person and at some point even these traces will be gone. A Context Driven Topology is not like a person because it can be specifically tailored to keep and use only certain aspects of its personality.

5.2 A Context Driven Topology is like a song, sometimes there is only one clear note you remember. All the other music out there does not matter.

5.3 Retrieving Context Driven Topologies from the stateless space is like raking leaves. There are different kinds of rakes with different styles of prongs with varying distances between, different material strengths or flexibilities. When the gathering tool is used too often or left unattended in unstable conditions, it needs to be replaced. Information that is not the right proportion or density simply passes through and will not be picked up. Sometimes foreign objects that do not belong are still retrieved but they are easy to recognize and remove because the first level of collection and separation has occurred. Using CDT similarity measures is not like raking because the leaf pile can be compressed into one piece and easily handled. Users can create one boundary and shrink it ~ rather than looking at all of the individual boundaries around all of the leaves, and clusters of leaves, scattered around separately.

5.4 Context Driven Topologies put in groups together are like chemical reactions, some simply cannot coexist in the same space. Other kinds transform, unite, and may even become something else. Context Driven Topologies are not like all chemicals because they are only man made.


5.5 Context Driven Topologies are like water, they can be in different states with certain thresholds. When they are ice they are different than steam but they can transform from one state to another without becoming something that is not water [Fig. 10]. When a Context Driven Topology is captured, it takes the shape of the vessel that carries it. When they are moving, they can have the power and persistence to change the non-water landscape around them. Context Driven Topologies are not like water because they are not real and do not have physical properties that constrain them to certain structures, states or adjacent conditions.


5.6 If Context Driven Topologies were used in a library, the levels and information components are: this library compared to other libraries, subject matters, books, chapters, phrases, words, letters. When a Context Driven Topology regenerates a book, it does not have the word ?the? in the archive over and over again. Each word is saved only one time to be mapped and assembled in proper sequences even if there are duplications. One level down this is also true for letters but this particular user is not looking at that level so these maps are hidden. Library to library, there is of course only one book also. Because of the way the book was published as and idea or information (8.3), the CDT system automatically and always defers to the original authors’ writings. The user can switch ?dimensions? to read a French translation, which naturally has different maps because the words are often in different sequences. At the chapter level, translated ideas are cohesive. Words are used in other books, this is another map that leads to other points of view that be compared if the user is interested in similar concepts conveyed by this word. Context Driven Topologies are not like libraries because there is not a better library with everything in mint condition including a knowledgeable staff to direct you versus an unattended trailer with 28 dog eared books to choose from, most which you have already read. There are only original books mapped out in precise sequences, anyone can get a copy, read it in their language, it is never checked out, and the author always receives credit and a higher ranking for general interest.


5.7 There is an old wooden roller coaster at Kennywood Park in Pittsburgh Pennsylvania called the ?Jackrabbit? built in 1921. Over time, piece by piece, the wood and tracks and cars have been repaired and replaced yet there was never a time the Jackrabbit wasn?t there. As a whole, the ride has not changed. It clacks and shakes and people fly up or hold onto their kids on the double dip the same way their parents held them before. Darts is a game that persists through time because of its geometry – circles of specific diameters, a fixed distance to stand away, even though there may be endless styles of darts and boards.? The popular game ?Cricket? includes an efficient scoring system that does not waste time writing down what ?might have been?. Perpetuating and precisely recreating Context Driven Topologies of shared knowledge across advanced networks of machines over time is like this ride and game, the components may be replaced and updated, but through each topology?s geometry, and an efficient annotation system, the whole continues to have meaning on its own regardless of the rate the components are replaced, or the number of variations that occur.


6.1 Every idea has a pace [Fig. 10].



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