Icons: Buttons: 02: Utrix








These buttons represent the networks that can exist.

For background go to the following link:


Universe: The Fabrics of Perception


I am working with the Latin language and it is helping me to classify my thoughts more effectively by understanding historical correlations in meaning. For example matter was considered a fabric. The term for light, “lume”, comes from the term loom which alludes to textile manufacture. In fact all of the textile terms merge with geometry where they were practically applied.

WEAVE: a fabric
POINT: a intersection
LINE: a line
ANG: a cut
HEIR: an area
VOL: layers
QUAL: a bundle

These terms have influenced our thinking for literally thousands of years. We still talk of the “fabric” of space, the fabric of time and “material” or whatever. We are unintentionally applying a metaphor. Yet it is a metaphor that has served us well.

At this point I present a scale that I have arrived at for human sensory perception.


– 8 , – 2 , – 1 , 0 , + 1 , + 2 , + 8


8 is infinity

2 is two

1 is one

0 is zero

+ is positive

– is negative

– 8 : WEAVE below perception: Datrice
– 2 : POINT: below acception: Sortrice
– 1 : LINE: below exception: Matrice
0 : ANGE: exception: Natrice
+ 1 : HEIR above exception: Patrice
+ 2 : VOL: above acception: Fratrice
+ 8 : QUAL: above perception: Satrice

1. WHO: Eyes: Occipital Lobe: Speciatation of Matter.

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root ASTR for the night sky:

– 8 : WEAVISTER: below perception
– 2 : POINTISTER: below acception
– 1 : LINISTER: below exception
0 : ANGISTER: exception
+ 1 : HEIRISTER above exception
+ 2 : VOLISTER: above acception
+ 8 : QUALESTER: above perception

PhotonicPhotons, PhotonicElectrons, PhotoincIons, PhotonicGases, PhotonicLiquids, PhotonicSolids, PhotonicMolecules

2. WHAT: Ears: Temporal Lobe: Association of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root FUL for Electricity or “Lightning” which is interesting because it means we hear events.

– 8 : WEAVIFUL: below perception
– 2 : POINTIFUL: below acception
– 1 : LINIFUL: below exception
0 : ANGIFUL: exception
+ 1 : HEIRIFUL: above exception
+ 2 : VOLIFUL: above acception
+ 8 : QUALIFUL: above perception

ElectronicPhotons, ElectronicElectons, ElectronicIons, ElectronicGases, ElectronicLiquids, ElectronicSolids, ElectronicMolecules

3. WHEN: Nose: Brainstem: Attibution of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root FIED for Ions or burn which is interesting because it means we smell ions or things that are reactive.

– 8 : WEAVEFIED: below perception
– 2 : POINTFIED: below acception
– 1 : LINEFIED: below exception
0 : ANGFIED: exception
+ 1 : HEIRFIED: above exception
+ 2 : VOLFIED: above acception
+ 8 : QUALIFIED: above perception

IonicPhotons, IonicElectrons, IonicIons, IonicGases, IonicLiquids, IonicSolids, IonicMolecules

4. WHERE: Throat: Parietal Lobe: Domination of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root AER for Gases

– 8 : WEAVIER: below perception
– 2 : POINTIER: below acception
– 1 : LINIER: below exception
0 : ANGIER: exception
+ 1 : HEIRIER: above exception
+ 2 : VOLIER: above acception
+ 8 : QUALIER: above perception

GasicPhotons, GasicElectrons, GasicIons, GasicGases, GasicLiquids, GasicSolids, GasicMolecules

5. WHY: Mouth: Frontal Lobe: Ingestion of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root AEST for Liquids or “Sea” which is interesting because it means that the Sea is the surface of the water.

– 8 : WEAVIEST: below perception
– 2 : POINTIEST: below acception
– 1 : LINIEST: below exception
0 : ANGIEST: exception
+ 1 : HEIRIEST: above exception
+ 2 : VOLIEST: above acception
+ 8 : QUALIEST: above perception

LiquidicPhotons, LiquidicElectons, LiquidicIons, LiquidicGases, LiquidicLiquids, LiquiidicSolids, LiquidicMolecules

6. HOW: Body: Cerebellum: Deduction of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root TER for Liquids or “Earth” because it means that the creators of the word Earth meant “water”.

– 8 : WEAVITER: below perception
– 2 : POINITER: below acception
– 1 : LINITER: below exception
0 : ANGITER: exception
+ 1 : HEIRITER: above exception
+ 2 : VOLITER: above acception
+ 8 : QUALITER: above perception

SolidicPhotons,  SolidicElectons, SolidicIons, SolidicGases, SolidicLiquids, SolidicSolidsSolidic, Molecules

HOW MUCH: Gut: brain region unknown

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root DUCT for Counting which is interesting because this involves the digestive process.  Molecule literally means “soft stone”.  Another word for dung.

– 8 : WEAVIDUCT: below perception
– 2 : POINTIDUCT: below acception
– 1 : LINIDUCT: below exception
0 : ANGIDUCT: exception
+ 1 : HEIRIDUCT above exception
+ 2 : VOLIDUCT: above acception
+ 8 : QUALIDUCT: above perception

MoleculicPhotons, MoleculicElectrons, MoleculicIons, MoleculicGases, MoleculicLiquids, MoleculicSolids, MoleculicMolecules.

Note: The seven International System Units are:

– 8 : WEAVE: below perception: Candela
– 2 : POINT: below acception: Ampere
– 1 : LINE: below exception: Kelvin
0 : ANG: exception: Metre
+ 1 : HEIRabove exception: Second
+ 2 : VOL: above acception: Kilogram
+ 8 : QUAL: above perception: Mole

I posted all of the above, because I believe that classification is underrated. If we spent more time thinking about the aesthetics of our classification language, which is presently total crap, we might make more discoveries.

How much do we conceal from ourselves because we deceive ourselves into thinkng a dogmatic classification system won’t bear fruit.

Have you ever seen this guy?


He beat his brains out letting the data talk to him and came up with this:

Periodic Table

When Dmitri Mendeleev created this table to describe periodic behaviour of the elements, many of the elements had not been discovered. However, the table projected what the properties of those elements would be making the search much easier.  Dmitri also was very good at making Vodka.

As I have discussed there are Satrice, Fratrice, Patrice, Natrice, Matrice, Sortrice and Datrice networks.  Each of them classify in different ways.  Understanding these networks and their classification are the road to new discoveries.  Networks are classification systems.

I just saw this in the New York Times:


It is called a “Knowledge Map”.  It is a plot of the link clicking behaviour of a scientific community.  Not what they say is important, but where they are going that they think is important.  From this information it may be possible to reorganize knowledge to make it more accessible to everyone.

And that is what we are all here for getting and giving access.

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Relationary Browser

What I am finding in my current work is that there are a set of symmetrical, semi-symmetrical and asymmetrical polyhedrons that can be used to describe an individual’s network with the the individual as the focus and direct links as radii to individuals represented as polytopes and the reporting groups (circles) represented as polygons formed from connecting the vertexes for the individuals in the reporting groups with edges.

Suddenly, “spheres of influence” can be modeled and utilized to the benefit of the communities of the individuals.

Prezi www.prezi.com could be used to navigate the vertexes on the surfaces of these spheres of influence as a giant two dimensional map of linked pages that you could “dive” into or “surface” out of through the links instead of forwarding or backwarding.

All you would have to do is have a “map” button that you click on and all the child pages for the current page are displayed as a Prezi map.  As a line or table of pages,  as a sphere with the pages displayed on the surface or flat one degree daisywheel with the tops of the pages pointing to the center where an icon for the current page resides.  Rotate the daisy to look at the pages right side up.  Or navigate freely Prezi style.

This could be applied to webpage networks, citation networks, social networks, location networks, date networks, time networks or state networks, career networks, image networks or any other form of network you can dream up.

If you have a company capable of developing this, I am looking for work and this would be a great project to get paid for.

Netular Technology versus Psuedo-Netular Technology


I have been having a very interesting discussion on Linkedin.com having expressed my opinion about current information technology and the netular  information technology I would like to see.

The people who have been exchanging their views with me cannot see the forest for the trees.  One is offended that I do not rave about all the social transitions the technologies are offering.  Another spews buzzwords like a chainsaw.  Another assumes my opinion is a product of my impatience for the convergence of the existing technologies.

Einstein once said he would spend a majority of his time defining a problem and a fraction of his time solving it.  A majority of the time on information technology is spent solving and a fraction actually taken to understand.  The consequence is most of the solutions out there are not designed, they are hastily assembled patchworks that because of the inertia of being first on the field are only replaced by further patches.

Our entire system of networks is built upon a foundation of linear and tabular architecture that is present in our CPUs, memory, storage, data structures, programming languages, organization, locations, events and goals.  In reality we are only dabbling in networks and doing an abysmal job of using them to their full effect.  We don’t understand them.

Marshall McLuhan said that when a new media is created the first thing we do is pump old media through it.  That is what we are doing now.  We are taking every form of old media we have and pushing it through the internet.  There is not a single case where we have successfully departed from linear and tabular old media.  I have looked at all the current technology, I have used it, I understand its internals and I stand by what I say.

We need a fundamental change in the way information technology works otherwise we are going to continue with an undesigned brute force attempt to solve our problems without ever understanding them.  The outcome will not be progress, but the perpetuation of flat earth thinking.

Linear and tabular thought are responsible for many of the problems we have in the world.  The biggest is the inability to fully appreciate the uniqueness of everything and everyone in this world.  The supreme example of this has been the long history of Religion, Genocide, Slavery, Nationalism, Imperialism, Racism, Eugenics, Fascism, Nazism, Communism, Marxism, Capitalism and Socialism.  All of them fail us because they depended on linear and tabular models of thought that denied the respect of the individuality of all experience.  True netular thought has the potential to challenge all of these misconceptions.  I think it is appropriate that this transition is on the horizon with the rise of globalism.  I doubt it will be a peaceful transition.

Actually, the insights into the underlying order in networks has made quite a bit of progress. One of the leaders in this area is Albert-Beszlos Barabasi who authored the book “Linked” http://www.nd.edu/~networks/Linked/index.html . Another researcher Kwabena Boahen made a fascinating presentation at TED http://tinyurl.com/6nnkb7 . There is also the work of Simon Williams that has come up with a new associative database architecture http://www.lazysoft.com as well as a commercial product, Sentences.

It is time for everyone to fundamentally change the way they think.

Barabasi: Scale-Free Networks

linkedLinked by Albert-Laszlo Barabasi has opened up an incredible range of knowledge regarding the laws of networks.  Albert goes far beyond the work of Duncan Watts in Six Degrees to explain the existence of many of the observed properties of complex networks and consequently the behaviour of complex systems.  The random graphs, clustering, power curves, hubs, network growth,  preferential attatchment, fitness, Bose-Einstein condensates are all introduced to the reader.  Ultimately the book is an introduction to the discovery of scale-free networks and reveals that all the past models based on random networks are wrong.

I highly recommend this book to anyone wanting to learn the current understanding of networks and the implications.

Icons: Systema Iconic Language: Part IV


I have been thinking about all I have read to this point and something occurred to me this evening.  There are no such thing as nodes and links.  There are only equilibrium and non-equilibrium states respectively.  Newtonian Thermodynamics only describes equilibrium states.  It does not account for the transition between states when equilibrium does not exist.  So it is with all networks.

When you navigate the web, you are actually moving from one HTML equilibrium state to another HTML equilibrium state.  The page metaphor is concealing the conceptual character of the process.

Back to Basics

The web navigation buttons on a browser are also deceptive.  They do not reveal the logical consistency between the navigation of hypertext networks and goal networks, contact networks, service networks, product networks, location networks, event networks and unit networks.  The consistency between the many forms of media is also concealed by not recognizing that all forms of media are networks transitioning between equilibrium and non-equilibrium states.  It is important to recognize that any form of process or data structure is really a network, even relational databases are simply lattice networks.


The above Icons are the only ones you need to deal with “step” and “loop”, two of the three “linear” processes for navigating any network.  In reality there is no such thing as a linear network.  There is only a path through a set of equilibrium states connected by these non-equilibrium states.  The remaining “decision” is not a binary decision, but a case or switch which is represented by hyperlink icons.

In reality, with the option to back track and break continuity by creating new browser windows, navigation of the web is much more like Prolog than say Basic or C.

It is that simple.  The above icons are the universal icons for navigation of any network, the rest irregardless of conceptual and physical meaning are hyperlinks.

I think it is significant to indicate the target state for hyperlinks through use of icon background shape and color, and to indicate target context through the use of icon foreground content.  This would make hyperlink icons much more communicative and universal.  As also discussed, hyperlink content could be presented as picticons (picture icons), graphicons, (graphic icons), liticons (text icons), sonicons (sound icons), anicons (animated icons) or vidicons (video icons) that exhibit proscribed behavior when rolled over.

Programming: A Great Seed Idea

I just came across a new blog, SysFunk by blackjack87, where a fledgling idea is taking shape:


Entitys are essentially living, growing, software programs. They have urges, a nature, skills, an environment, and relationships; they are bound by their nature, environments and urges. They are governed holistically by an anthropological philosophy by means of adopting such familiar natural survival characteristics as adaption, and regeneration.

This is not a novel idea, even Turing experimented with artificial life, however it is novel for social networks and bioinformatics.  Entities in social networks have characteristics very similar to what this abstract describes and the reason why I believe organisms are a product of natural laws in network behavior.  There is a great deal of unexplored territory.  Blackjack87 has some work cut out for him, but if he pursues it, I will follow with interest and help where I can.