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Analyzing Network Connections...

Network Profile

Overall Strength
i
90.86% of network
(676)
Strength Breakdown
  • This Post (90.86%)
  • Bucharest (2.15%)
  • Arad (0.54%)
  • Brăila (0.54%)
  • Brașov (0.54%)
  • București (0.54%)
  • Cluj (0.54%)
  • Constanța (0.54%)
  • Dâmbovița (0.54%)
  • Galați (0.54%)
  • Giurgiu (0.54%)
  • Prahova (0.54%)
  • Sălaj (0.54%)
  • Tulcea (0.54%)
  • Argeș (0.54%)
Influence Score
i
6.67% of network
(1)
Influence Breakdown
  • This Post (6.67%)
  • Arad (6.67%)
  • Brăila (6.67%)
  • Brașov (6.67%)
  • Bucharest (6.67%)
  • București (6.67%)
  • Cluj (6.67%)
  • Constanța (6.67%)
  • Dâmbovița (6.67%)
  • Galați (6.67%)
  • Giurgiu (6.67%)
  • Prahova (6.67%)
  • Sălaj (6.67%)
  • Tulcea (6.67%)
  • Argeș (6.67%)
Direct Connections 26

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, 13) = 13
$outbound = max(1, 13) = 13

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1

// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 169 *
                           ( 1 [Arad] *
                            1 [Brăila] *
                            1 [Brașov] *
                            4 [Bucharest] *
                            1 [București] *
                            1 [Cluj] *
                            1 [Constanța] *
                            1 [Dâmbovița] *
                            1 [Galați] *
                            1 [Giurgiu] *
                            1 [Prahova] *
                            1 [Sălaj] *
                            1 [Tulcea] *
                            1 [Argeș]
                           )

                         = 676

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Arad] *
                            1 [Brăila] *
                            1 [Brașov] *
                            1 [Bucharest] *
                            1 [București] *
                            1 [Cluj] *
                            1 [Constanța] *
                            1 [Dâmbovița] *
                            1 [Galați] *
                            1 [Giurgiu] *
                            1 [Prahova] *
                            1 [Sălaj] *
                            1 [Tulcea] *
                            1 [Argeș]
                           )

                         = 1
Outbound 13 Tags on post
Inbound 13 Posts tagging this
Connections 14 Total nodes
Base Node Strength 169
Base Node Influence 1
Strength Share (vs Direct Neighbours)
90.86% (676 overall)
  • This Post (90.86%)
  • Bucharest (2.15%)
  • Arad (0.54%)
  • Brăila (0.54%)
  • Brașov (0.54%)
  • București (0.54%)
  • Cluj (0.54%)
  • Constanța (0.54%)
  • Dâmbovița (0.54%)
  • Galați (0.54%)
  • Giurgiu (0.54%)
  • Prahova (0.54%)
  • Sălaj (0.54%)
  • Tulcea (0.54%)
  • Argeș (0.54%)
Influence Share (vs Direct Neighbours)
6.67% (1 overall)
  • This Post (6.67%)
  • Arad (6.67%)
  • Brăila (6.67%)
  • Brașov (6.67%)
  • Bucharest (6.67%)
  • București (6.67%)
  • Cluj (6.67%)
  • Constanța (6.67%)
  • Dâmbovița (6.67%)
  • Galați (6.67%)
  • Giurgiu (6.67%)
  • Prahova (6.67%)
  • Sălaj (6.67%)
  • Tulcea (6.67%)
  • Argeș (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Arad ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Brașov ↗
Str: 1Inf: 1
Bucharest ↗
Str: 4Inf: 1
București ↗
Str: 1Inf: 1
Cluj ↗
Str: 1Inf: 1
Constanța ↗
Str: 1Inf: 1
Dâmbovița ↗
Str: 1Inf: 1
Galați ↗
Str: 1Inf: 1
Giurgiu ↗
Str: 1Inf: 1
Prahova ↗
Str: 1Inf: 1
Sălaj ↗
Str: 1Inf: 1
Tulcea ↗
Str: 1Inf: 1
Argeș ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Argeș ↗
Str: 1Inf: 1
Tulcea ↗
Str: 1Inf: 1
Sălaj ↗
Str: 1Inf: 1
Prahova ↗
Str: 1Inf: 1
Giurgiu ↗
Str: 1Inf: 1
Galați ↗
Str: 1Inf: 1
Dâmbovița ↗
Str: 1Inf: 1
Constanța ↗
Str: 1Inf: 1
Cluj ↗
Str: 1Inf: 1
București ↗
Str: 1Inf: 1
Bucharest ↗
Str: 4Inf: 1
Brașov ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Arad ↗
Str: 1Inf: 1

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

Outbound Tags (13)
Arad
Argeș
Brașov
Brăila
Bucharest
Cluj
Constanța
Dâmbovița
Galați
Giurgiu
Prahova
Sălaj
Tulcea
Inbound Posts (13)
Arad
Argeș
Brăila
Brașov
Bucharest
Cluj
Constanța
Dâmbovița
Galați
Giurgiu
Prahova
Sălaj
Tulcea
Last calculated: Nov 6, 5:23 PM
Prahova, Romania193

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