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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.57% of network
(4.30 × 1018)
Strength Breakdown
  • This Post (1.57%)
  • Katherine Vélez (4.37%)
  • Luis Mesa (4.37%)
  • Manuela González (4.37%)
  • Roberto Cano (4.37%)
  • Viña Machado (4.37%)
  • Camilo Amores (2.80%)
  • Luna Baxter (2.80%)
  • Sara Pinzón (2.80%)
  • Tommy Vasquez (2.80%)
  • Toto Vega (2.80%)
  • Valeria Galviz (2.80%)
  • Nuevo rico, nuevo pobre (1.57%)
  • La Bruja (0.17%)
  • nuevo pobre (0.17%)
  • Nuevo rico (0.17%)
  • Hans Martínez (0.17%)
  • Juan Manuel Mendoza (0.17%)
  • Juana del Rio (0.17%)
  • Patrick Forster-Delmas (0.17%)
  • Ricardo Vesga (0.17%)
  • Variel Sanchez (0.17%)
Dominant nodes (excluded from chart)
Undercover Law 56.64%
Influence Score
i
4.35% of network
(1)
Influence Breakdown
  • This Post (4.35%)
  • La Bruja (4.35%)
  • Nuevo rico, nuevo pobre (4.35%)
  • Undercover Law (4.35%)
  • nuevo pobre (4.35%)
  • Nuevo rico (4.35%)
  • Camilo Amores (4.35%)
  • Hans Martínez (4.35%)
  • Juan Manuel Mendoza (4.35%)
  • Juana del Rio (4.35%)
  • Katherine Vélez (4.35%)
  • Luis Mesa (4.35%)
  • Luna Baxter (4.35%)
  • Manuela González (4.35%)
  • Patrick Forster-Delmas (4.35%)
  • Ricardo Vesga (4.35%)
  • Roberto Cano (4.35%)
  • Sara Pinzón (4.35%)
  • Tommy Vasquez (4.35%)
  • Toto Vega (4.35%)
  • Valeria Galviz (4.35%)
  • Variel Sanchez (4.35%)
  • Viña Machado (4.35%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 1 [La Bruja] *
                            9 [Nuevo rico, nuevo pobre] *
                            324 [Undercover Law] *
                            1 [nuevo pobre] *
                            1 [Nuevo rico] *
                            16 [Camilo Amores] *
                            1 [Hans Martínez] *
                            1 [Juan Manuel Mendoza] *
                            1 [Juana del Rio] *
                            25 [Katherine Vélez] *
                            25 [Luis Mesa] *
                            16 [Luna Baxter] *
                            25 [Manuela González] *
                            1 [Patrick Forster-Delmas] *
                            1 [Ricardo Vesga] *
                            25 [Roberto Cano] *
                            16 [Sara Pinzón] *
                            16 [Tommy Vasquez] *
                            16 [Toto Vega] *
                            16 [Valeria Galviz] *
                            1 [Variel Sanchez] *
                            25 [Viña Machado]
                           )

                         = 4.30 x 10^18

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [La Bruja] *
                            1 [Nuevo rico, nuevo pobre] *
                            1 [Undercover Law] *
                            1 [nuevo pobre] *
                            1 [Nuevo rico] *
                            1 [Camilo Amores] *
                            1 [Hans Martínez] *
                            1 [Juan Manuel Mendoza] *
                            1 [Juana del Rio] *
                            1 [Katherine Vélez] *
                            1 [Luis Mesa] *
                            1 [Luna Baxter] *
                            1 [Manuela González] *
                            1 [Patrick Forster-Delmas] *
                            1 [Ricardo Vesga] *
                            1 [Roberto Cano] *
                            1 [Sara Pinzón] *
                            1 [Tommy Vasquez] *
                            1 [Toto Vega] *
                            1 [Valeria Galviz] *
                            1 [Variel Sanchez] *
                            1 [Viña Machado]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 22 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.57% (4.30 × 1018 overall)
  • This Post (1.57%)
  • Katherine Vélez (4.37%)
  • Luis Mesa (4.37%)
  • Manuela González (4.37%)
  • Roberto Cano (4.37%)
  • Viña Machado (4.37%)
  • Camilo Amores (2.80%)
  • Luna Baxter (2.80%)
  • Sara Pinzón (2.80%)
  • Tommy Vasquez (2.80%)
  • Toto Vega (2.80%)
  • Valeria Galviz (2.80%)
  • Nuevo rico, nuevo pobre (1.57%)
  • La Bruja (0.17%)
  • nuevo pobre (0.17%)
  • Nuevo rico (0.17%)
  • Hans Martínez (0.17%)
  • Juan Manuel Mendoza (0.17%)
  • Juana del Rio (0.17%)
  • Patrick Forster-Delmas (0.17%)
  • Ricardo Vesga (0.17%)
  • Variel Sanchez (0.17%)
Dominant nodes (excluded from chart)
Undercover Law 56.64%
Influence Share (vs Direct Neighbours)
4.35% (1 overall)
  • This Post (4.35%)
  • La Bruja (4.35%)
  • Nuevo rico, nuevo pobre (4.35%)
  • Undercover Law (4.35%)
  • nuevo pobre (4.35%)
  • Nuevo rico (4.35%)
  • Camilo Amores (4.35%)
  • Hans Martínez (4.35%)
  • Juan Manuel Mendoza (4.35%)
  • Juana del Rio (4.35%)
  • Katherine Vélez (4.35%)
  • Luis Mesa (4.35%)
  • Luna Baxter (4.35%)
  • Manuela González (4.35%)
  • Patrick Forster-Delmas (4.35%)
  • Ricardo Vesga (4.35%)
  • Roberto Cano (4.35%)
  • Sara Pinzón (4.35%)
  • Tommy Vasquez (4.35%)
  • Toto Vega (4.35%)
  • Valeria Galviz (4.35%)
  • Variel Sanchez (4.35%)
  • Viña Machado (4.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
La Bruja ↗
Str: 1Inf: 1
Nuevo rico, nuevo pobre ↗
Str: 9Inf: 1
Undercover Law ↗
Str: 324Inf: 1
nuevo pobre ↗
Str: 1Inf: 1
Nuevo rico ↗
Str: 1Inf: 1
Camilo Amores ↗
Str: 16Inf: 1
Hans Martínez ↗
Str: 1Inf: 1
Juan Manuel Mendoza ↗
Str: 1Inf: 1
Juana del Rio ↗
Str: 1Inf: 1
Katherine Vélez ↗
Str: 25Inf: 1
Luis Mesa ↗
Str: 25Inf: 1
Luna Baxter ↗
Str: 16Inf: 1
Manuela González ↗
Str: 25Inf: 1
Patrick Forster-Delmas ↗
Str: 1Inf: 1
Ricardo Vesga ↗
Str: 1Inf: 1
Roberto Cano ↗
Str: 25Inf: 1
Sara Pinzón ↗
Str: 16Inf: 1
Tommy Vasquez ↗
Str: 16Inf: 1
Toto Vega ↗
Str: 16Inf: 1
Valeria Galviz ↗
Str: 16Inf: 1
Variel Sanchez ↗
Str: 1Inf: 1
Viña Machado ↗
Str: 25Inf: 1
Weakest Connections (Lowest Multipliers)
Viña Machado ↗
Str: 25Inf: 1
Variel Sanchez ↗
Str: 1Inf: 1
Valeria Galviz ↗
Str: 16Inf: 1
Toto Vega ↗
Str: 16Inf: 1
Tommy Vasquez ↗
Str: 16Inf: 1
Sara Pinzón ↗
Str: 16Inf: 1
Roberto Cano ↗
Str: 25Inf: 1
Ricardo Vesga ↗
Str: 1Inf: 1
Patrick Forster-Delmas ↗
Str: 1Inf: 1
Manuela González ↗
Str: 25Inf: 1
Luna Baxter ↗
Str: 16Inf: 1
Luis Mesa ↗
Str: 25Inf: 1
Katherine Vélez ↗
Str: 25Inf: 1
Juana del Rio ↗
Str: 1Inf: 1
Juan Manuel Mendoza ↗
Str: 1Inf: 1
Hans Martínez ↗
Str: 1Inf: 1
Camilo Amores ↗
Str: 16Inf: 1
Nuevo rico ↗
Str: 1Inf: 1
nuevo pobre ↗
Str: 1Inf: 1
Undercover Law ↗
Str: 324Inf: 1
Nuevo rico, nuevo pobre ↗
Str: 9Inf: 1
La Bruja ↗
Str: 1Inf: 1

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

Outbound Tags (3)
La Bruja
Nuevo rico, nuevo pobre
Undercover Law
Inbound Posts (3)
La Bruja
Nuevo rico, nuevo pobre
Undercover Law
Last calculated: Sep 5, 2:29 PM
28

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