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Mathematical models

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Related Images

Economic models
Modeling
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Conceptual models
Mathematical modeling

Analyzing Network Connections...

Network Profile

Overall Strength
i
9.09% of network
(32)
Strength Breakdown
  • This Post (9.09%)
  • Hypothetical objects (4.55%)
  • Software modeling language (4.55%)
  • Diffusion mathematical Modelling (4.55%)
  • Econometric modeling (4.55%)
Dominant nodes (excluded from chart)
Econometrics 72.73%
Influence Score
i
28.57% of network
(2)
Influence Breakdown
  • This Post (28.57%)
  • Hypothetical objects (14.29%)
  • Software modeling language (14.29%)
  • Diffusion mathematical Modelling (14.29%)
  • Econometric modeling (14.29%)
  • Econometrics (14.29%)
Direct Connections 2

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, 2) = 2
$outbound = max(1, 0) = 1

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

// 3. Exponential Network Values (accumulating 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 1 [Hypothetical objects] *
                            1 [Software modeling language] *
                            1 [Diffusion mathematical Modelling] *
                            1 [Econometric modeling] *
                            16 [Econometrics]
                           )

                         = 32

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 1 [Hypothetical objects] *
                            1 [Software modeling language] *
                            1 [Diffusion mathematical Modelling] *
                            1 [Econometric modeling] *
                            1 [Econometrics]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 0 Posts tagging this
Connections 5 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
9.09% (32 overall)
  • This Post (9.09%)
  • Hypothetical objects (4.55%)
  • Software modeling language (4.55%)
  • Diffusion mathematical Modelling (4.55%)
  • Econometric modeling (4.55%)
Dominant nodes (excluded from chart)
Econometrics 72.73%
Influence Share (vs Direct Neighbours)
28.57% (2 overall)
  • This Post (28.57%)
  • Hypothetical objects (14.29%)
  • Software modeling language (14.29%)
  • Diffusion mathematical Modelling (14.29%)
  • Econometric modeling (14.29%)
  • Econometrics (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hypothetical objects ↗
Str: 1Inf: 1
Software modeling language ↗
Str: 1Inf: 1
Diffusion mathematical Modelling ↗
Str: 1Inf: 1
Econometric modeling ↗
Str: 1Inf: 1
Econometrics ↗
Str: 16Inf: 1
Weakest Connections (Lowest Multipliers)
Econometrics ↗
Str: 16Inf: 1
Econometric modeling ↗
Str: 1Inf: 1
Diffusion mathematical Modelling ↗
Str: 1Inf: 1
Software modeling language ↗
Str: 1Inf: 1
Hypothetical objects ↗
Str: 1Inf: 1

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

Outbound Tags (2)
Conceptual models
BROKEN LINK
mathematical modeling
BROKEN LINK
Inbound Posts (0)
No other posts link to this one yet.
Last calculated: Jun 17, 12:54 PM
16

Related Content

Topics

  • Econometrics
  • Hypothetical objects
  • Software modeling language
  • Diffusion mathematical Modelling
  • Econometric modeling