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Network Theory
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Complex Dynamic & Adaptive Structural Systems
Participating Everywhere in the World Around us

Networks

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Complex Adaptive Systems: Networks Are Alive

Network Theory

Network Theory is analyzing Networks; modeling. It is based upon Graph Theory. It gives us a verbal technology in the form of a standard language, to describe the structures and properties of networks. What are the features and individual components (Nodes, Links, Edges, Connectors,) of interest?

One thing we might ask about  any individual node is how central is it within the overall network?

 

Parallel Systems

Network Structure

One thing we might ask about  any individual node is how central is it within the overall network?

Structure:

  1. Local
  2. Global
  3. Both of which affect (or feedback) to each other

 

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Network Features

Network Features:

  1. How are they connected? Are all parts connected?
  2. Are other parts disconnected (or partially isolated)?
  3. What is the density of connections? (strangers vs. friends).
  4. What are the patterns of clustering? (many small clusters? Just a few large clusters?)

What happens if we change a parameter of any property?

What are the connection possibilities

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Network Structural Types

                   Identification of Structural Types:

  1. Random Network:
    1. Most networks in Nature are non-random
    2. Defined by constraints (rules) of the system.
  2. Designed
    1. Some networks are purposely designed from a top-down perspective (for example a computer network designed by a network administrator)
  3. Not-designed
    1. Emergent; from local level rules and interactions
    2. Examples: markets, logistics, friendships, terrorist organizations, food web
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A Few Words About Network Theory

Networks in Nature are not usually Random: clusters of Actors are connected to a few key Agents (hubs). This is called a Small World Network where everyone is distributed via just a few steps (6 degrees of separation). For example: power grids, airline routes, internet servers.

  • Small world networks maximize connectivity
  • While minimizing the number of connections (the ‘sphere’ of network ‘volume’)
  • Enabling resources to travel through the network more efficiently
  • This pattern appears spontaneously in Nature with frequency (examples: rivers, food webs in ecosystems, inside our living bodies)

The Connectome (in the brain) needs efficient regional connections and makes use of affordable efficiencies via of small world patterns. Children’s brains begin with a random pattern (with many more connections) but with experience, connections are lost and pruned as efficiency progresses –yet brain disorders reveal a big-world pattern.

Does Consciousness itself emerge from small-world architecture?

Small world patterns are like the Bell Shaped  Curve, or Fibonacci series: emerging in Nature constantly and revealing the math and physics underlying Nature –a signal that the gears of the universe (cf. Iesod) are churning away and connecting our small world to the mechanics of the Cosmos.

Reading Section

Hubs, Links, Nodes

The Effect of Topology impacts network density (the ease with which any two nodes connect) which can result in:

  • Reduced barriers (to connectivity)
  • Greater Integration
  • The type of clustering

All of which are defined by or affected by the structural topology.

basic connex
Network Design

Network Topography

…encompasses the Ring network, the Mesh network, the Star network, the Fully Connected network, the Tree network, the Linear network, and the Bus (or Serial Bus) network. All these have different features and properties.

Map of the Terrain

Diffusion: how something will spread or travel across the network.

  • Spread of Disease
  • Interdiction (containment)
    1. Robust
    2. Fragile
      1. How susceptible is the network to failure from
        • Random attack
        • Strategic attack

Information Superhighway

Transfers & Exchanges

Network Dynamics:

  • Coherence
  • Decay
  • Liminality

These determine the Life Cycle of the Network

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Inter-Dimensional Stacks

Charms & Chiralities

Diffusion: how something will spread or travel across the network.

  • Spread of Disease
  • Interdiction (containment)
    1. Robust
    2. Fragile
      1. How susceptible is the network to failure from
        • Random attack

Strategic attack

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Private Office

In The Noosphere

Scale relates to the number of nodes:

  • Small world (like we find in Rural Communities). And
  • Large World (like we find in Urban Communities).

Clustering refers to subsystems within a Network. This is represented by some common set of properties forming subsets within Networks.

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Global Structure
&
Double Hermeneutics

Satellite Geometrics

Global Structure

Upon maturity of a Network, a Global Structure will emerge that Feeds Back to affect the elements of a system. We can then study its Topology to better understand that Network System. Macro-scale Topology is shared by the primary features that compose a Network.

 

Networks are drawn (depicted, graphed) as if the outer nodes are the ends of a spindle. But never forget that networks take place within a context (or within an environment), which is also affected by the network and the connections within it. There is a double-hermeneutic feedback. So the outer nodes on the spindle are not isolated (they are not ‘outer). Also consider Revolving Networks that are constantly interacting with each other within that/those (Revolving) environment(s) (of Spherical Q).  Networks are Alive.

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Constructal Law

Constructal Infonomic Theory

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Mauris a congue augue. Aenean nec purus vehicula augue congue eleifend sed ac ipsum. Morbi rutrum, elit sit amet faucibus vestibulum, orci est lobortis purus, et faucibus velit nibh pharetra arcu. Cras dignissim, ligula at lacinia accumsan, lectus dolor placerat purus, non semper est justo sed nibh. In pretium tristique erat nec.

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Frameworks & Flexible Infrastructure

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Network Dynamics

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Work With Comfort

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Nodes that Fire Together Wire Together

Dynamic Systems

Dynamic Systems are difficult to predict with any exactitude (just like the weather) but they can be successfully modeled

Networked Systems

The mathematics of conjunctions (known as 'nexus') makes it unlikely that any member will be greater than 6 connections away.

Human Brain

Possibly the most Complex of the Dynamic Adaptive Systems is the Human Brain; able to self organize & evolve under changing conditions.

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Email: jwstaley@sociologist.com

jwstaley

Social Architect

Experience

2005 - Present

10-01 Organization
CEO

The 10-01 Organization is a complex adaptive organization based on dynamic holarchy and emergent learning communities. It features Social Architecture (based on non-linear systems and social network theory), consulting, and services (including social, political, and environmental activism, events, and education). It also serves as home to several Indie publishing laboratories.

2013 - 2015

Courses

American Social Welfare System; Anthropology; Behavioral Management; Community and Urban Development; Composition and Rhetoric; Counseling Psychology; Creative Writing; Development of Sociological Theory; General Psychology; General Sociology; Group/Cross-Cultural Counseling; Inequality and Stratification; Phenomenology and Existentialism; Philosophy of Aesthetics; Philosophy of Art and Beauty; Political Sociology; Professional Social Work in Contemporary Society; Psychology of Personality; Race and Ethnic Relations; Research Methodology; Research Methods (Graduate); Social Change; Social Deviance; Social Problems in American Society; Social Psychology; Spatial Environmental Problems; Statistical Methods; Studies in Poetry

2010 - Present

Freelance

Social Architecture (Community Building); Social Theory: (Networks, Dynamic Fields, Ecological Complexity, Holarchy); Social Psyche: (Creativity, Extended Cognition, Philosophy; Process-Relational, Integral); Appreciative Inquiry. Practicum: Creative Specialties, INTP, New Modalities, Creative Intuition/Right Brain Specialties

About Me

Social Theory; Social Architecture; Creative Specialties: Author, Publisher, Composer/Producer, Website Design, Fine Art; Educator; Sociologist; Social Networks, Community Building.

Education

1980's

ASU: Social Theory

1985

Lenoir-Rhyne: Educational Research

1990's

Mecklenburg County Mental Health:
Behavioral Conditioning

1995

Academy of Performing Arts:
Instructor

2000

ElderCare/CompanionCare

2005

Design University: WebDesign

2010's

Field Investigation:
L.K. Walker Adjusters

Present

Danville-Pittsylvania Community Services

Skills

  • Excellent Social skills and an insightful and intuitive People person
  • Great Office and Clerical skills; including Office and Word Processing software; can Orchestrate and Delegate
  • Good Presentation skills; am comfortable presenting in front of small groups and in close proximity
  • Great Teaching skills and abilities (Talented); Gifted at Explaining
  • Excellent Listening and Counseling skills; Good Practical Sense and Clear-eyed Assessment; very Creative at finding Solutions; Excellent Coaching and Life-Coaching Abilities
  • Talented at Computer Graphics and Website Design (experience with relevant software); Artistic Eye for Arrangements and Composition
  • Talented Writer (Fiction or Non-Fiction; text, instruction, policy); Can verbalize and express well in written form
  • well-developed Documentation and Reporting skills
  • well-developed Research skills and abilities
  • a very able Learner; can learn new skills and abilities
  • Disciplined; can practice and learn to apply new skills well
Complex Adaptive 81%
Network Theory 71%
SuperCausal Quantum 76%
Social Theory (Ontological) 85%

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