Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Richard Sahla
W. Brian ArthurMathematical modelsDiffusion mathematical ModellingCommitment to Development IndexRandom Effects and Fixed Effects modelsEconometric modelingEconometrics

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 5 hours ago
Comments: 0

Eileen Lally
Last login: 1 week ago
Comments: 0

Özkan Konu
Last login: 4 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 4 weeks ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Mathematical modeling

Loading Graph...
Press Spacebar to toggle layout
Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook

Keep Muso free

Muso is built by one person, for the love of it. no investors — just your support.

€10
Covers an hour of research
Most popular
€25
Keeps the archive running
€50
Funds a full week of work
✎ Enter my own amount
€5
per month · cancel any time

You'll confirm the amount on the next screen

Donate €25 →
Secure checkout via Stripe  ·  No account needed

Related Images

Conceptual models

Analyzing Network Connections...

Network Profile

Overall Strength
i
23.19% of network
(15.4K)
Strength Breakdown
  • This Post (23.19%)
  • Mathematical models (2.90%)
  • Diffusion mathematical Modelling (1.45%)
  • Econometric modeling (1.45%)
  • Commitment to Development Index (1.45%)
  • Random Effects and Fixed Effects models (1.45%)
  • W. Brian Arthur (1.45%)
Dominant nodes (excluded from chart)
Richard Sahla 43.48%Econometrics 23.19%
Influence Score
i
9.80% of network
(2.4)
Influence Breakdown
  • This Post (9.80%)
  • Mathematical models (19.61%)
  • Richard Sahla (11.76%)
  • Diffusion mathematical Modelling (9.80%)
  • Econometric modeling (9.80%)
  • Econometrics (9.80%)
  • Commitment to Development Index (9.80%)
  • Random Effects and Fixed Effects models (9.80%)
  • W. Brian Arthur (9.80%)
Direct Connections 8

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 4) = 4
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 2 [Mathematical models] *
                            30 [Richard Sahla] *
                            1 [Diffusion mathematical Modelling] *
                            1 [Econometric modeling] *
                            16 [Econometrics] *
                            1 [Commitment to Development Index] *
                            1 [Random Effects and Fixed Effects models] *
                            1 [W. Brian Arthur]
                           )

                         = 15.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Mathematical models] *
                            1.2 [Richard Sahla] *
                            1 [Diffusion mathematical Modelling] *
                            1 [Econometric modeling] *
                            1 [Econometrics] *
                            1 [Commitment to Development Index] *
                            1 [Random Effects and Fixed Effects models] *
                            1 [W. Brian Arthur]
                           )

                         = 2.4
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 8 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
23.19% (15.4K overall)
  • This Post (23.19%)
  • Mathematical models (2.90%)
  • Diffusion mathematical Modelling (1.45%)
  • Econometric modeling (1.45%)
  • Commitment to Development Index (1.45%)
  • Random Effects and Fixed Effects models (1.45%)
  • W. Brian Arthur (1.45%)
Dominant nodes (excluded from chart)
Richard Sahla 43.48%Econometrics 23.19%
Influence Share (vs Direct Neighbours)
9.80% (2.4 overall)
  • This Post (9.80%)
  • Mathematical models (19.61%)
  • Richard Sahla (11.76%)
  • Diffusion mathematical Modelling (9.80%)
  • Econometric modeling (9.80%)
  • Econometrics (9.80%)
  • Commitment to Development Index (9.80%)
  • Random Effects and Fixed Effects models (9.80%)
  • W. Brian Arthur (9.80%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mathematical models ↗
Str: 2Inf: 2
Richard Sahla ↗
Str: 30Inf: 1.2
Diffusion mathematical Modelling ↗
Str: 1Inf: 1
Econometric modeling ↗
Str: 1Inf: 1
Econometrics ↗
Str: 16Inf: 1
Commitment to Development Index ↗
Str: 1Inf: 1
Random Effects and Fixed Effects models ↗
Str: 1Inf: 1
W. Brian Arthur ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
W. Brian Arthur ↗
Str: 1Inf: 1
Random Effects and Fixed Effects models ↗
Str: 1Inf: 1
Commitment to Development Index ↗
Str: 1Inf: 1
Econometrics ↗
Str: 16Inf: 1
Econometric modeling ↗
Str: 1Inf: 1
Diffusion mathematical Modelling ↗
Str: 1Inf: 1
Richard Sahla ↗
Str: 30Inf: 1.2
Mathematical models ↗
Str: 2Inf: 2

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (4)
Diffusion mathematical Modelling
BROKEN LINK
Econometric modeling
BROKEN LINK
Econometrics
BROKEN LINK
Mathematical models
BROKEN LINK
Inbound Posts (4)
No other posts link to this one yet.
Last calculated: Jun 13, 10:51 PM
23

Related Content

Topics

  • Mathematical models
  • Diffusion mathematical Modelling
  • Econometric modeling
  • Richard Sahla
  • Econometrics
  • Commitment to Development Index
  • Random Effects and Fixed Effects models
  • W. Brian Arthur