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Richard Sahla
Commitment to Development IndexRandom Effects and Fixed Effects modelsEconometrics

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Mathematical modeling

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.04% of network
(480)
Strength Breakdown
  • This Post (2.04%)
  • Richard Sahla (61.22%)
  • Econometrics (32.65%)
  • Commitment to Development Index (2.04%)
  • Random Effects and Fixed Effects models (2.04%)
Influence Score
i
19.23% of network
(1.2)
Influence Breakdown
  • This Post (19.23%)
  • Richard Sahla (23.08%)
  • Econometrics (19.23%)
  • Commitment to Development Index (19.23%)
  • Random Effects and Fixed Effects models (19.23%)
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, 1) = 1
$outbound = max(1, 1) = 1

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

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 30 [Richard Sahla] *
                            16 [Econometrics] *
                            1 [Commitment to Development Index] *
                            1 [Random Effects and Fixed Effects models]
                           )

                         = 480

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.2 [Richard Sahla] *
                            1 [Econometrics] *
                            1 [Commitment to Development Index] *
                            1 [Random Effects and Fixed Effects models]
                           )

                         = 1.2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 4 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.04% (480 overall)
  • This Post (2.04%)
  • Richard Sahla (61.22%)
  • Econometrics (32.65%)
  • Commitment to Development Index (2.04%)
  • Random Effects and Fixed Effects models (2.04%)
Influence Share (vs Direct Neighbours)
19.23% (1.2 overall)
  • This Post (19.23%)
  • Richard Sahla (23.08%)
  • Econometrics (19.23%)
  • Commitment to Development Index (19.23%)
  • Random Effects and Fixed Effects models (19.23%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Richard Sahla ↗
Str: 30Inf: 1.2
Econometrics ↗
Str: 16Inf: 1
Commitment to Development Index ↗
Str: 1Inf: 1
Random Effects and Fixed Effects models ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Random Effects and Fixed Effects models ↗
Str: 1Inf: 1
Commitment to Development Index ↗
Str: 1Inf: 1
Econometrics ↗
Str: 16Inf: 1
Richard Sahla ↗
Str: 30Inf: 1.2

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

Outbound Tags (1)
Econometrics
Inbound Posts (1)
Econometrics
Last calculated: Jun 14, 12:44 AM
16

Related Content

Topics

  • Econometrics
  • Richard Sahla
  • Commitment to Development Index
  • Random Effects and Fixed Effects models