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Undercover LawFrancisco the MathematicianLa mujer del presidenteRoberto CanoLa Lectora

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.28% of network
(8.1K)
Strength Breakdown
  • This Post (0.28%)
  • Francisco the Mathematician (0.28%)
  • La Lectora (0.28%)
  • La mujer del presidente (0.28%)
Dominant nodes (excluded from chart)
Undercover Law 91.78%Roberto Cano 7.08%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Undercover Law (16.67%)
  • Roberto Cano (16.67%)
  • Francisco the Mathematician (16.67%)
  • La Lectora (16.67%)
  • La mujer del presidente (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 324 [Undercover Law] *
                            25 [Roberto Cano] *
                            1 [Francisco the Mathematician] *
                            1 [La Lectora] *
                            1 [La mujer del presidente]
                           )

                         = 8.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Undercover Law] *
                            1 [Roberto Cano] *
                            1 [Francisco the Mathematician] *
                            1 [La Lectora] *
                            1 [La mujer del presidente]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.28% (8.1K overall)
  • This Post (0.28%)
  • Francisco the Mathematician (0.28%)
  • La Lectora (0.28%)
  • La mujer del presidente (0.28%)
Dominant nodes (excluded from chart)
Undercover Law 91.78%Roberto Cano 7.08%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Undercover Law (16.67%)
  • Roberto Cano (16.67%)
  • Francisco the Mathematician (16.67%)
  • La Lectora (16.67%)
  • La mujer del presidente (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Undercover Law ↗
Str: 324Inf: 1
Roberto Cano ↗
Str: 25Inf: 1
Francisco the Mathematician ↗
Str: 1Inf: 1
La Lectora ↗
Str: 1Inf: 1
La mujer del presidente ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
La mujer del presidente ↗
Str: 1Inf: 1
La Lectora ↗
Str: 1Inf: 1
Francisco the Mathematician ↗
Str: 1Inf: 1
Roberto Cano ↗
Str: 25Inf: 1
Undercover Law ↗
Str: 324Inf: 1

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

Outbound Tags (1)
Roberto Cano
Inbound Posts (1)
Roberto Cano
Last calculated: Sep 25, 11:21 PM
53

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