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Bruce Springsteen
ArcelorMittal GijónSteel MillSteel mills in the United StatesSteel mills in FranceSteel mill pollution

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ArcelorMittal Avilés

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Connected Bands/Artists

  • Steel Mill

Connected Musicians

  • ArcelorMittal Gijón
  • Bruce Springsteen
    Bruce Springsteen band photo
  • Steel mill pollution
  • Steel mills in France
  • Steel mills in the United States

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.48% of network
(6.1K)
Strength Breakdown
  • This Post (0.48%)
  • ArcelorMittal Gijón (0.48%)
  • Steel mill pollution (0.48%)
  • Steel mills in France (0.48%)
  • Steel mills in the United States (0.48%)
Dominant nodes (excluded from chart)
Bruce Springsteen 80.48%Steel Mill 17.14%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Bruce Springsteen (14.29%)
  • Steel Mill (14.29%)
  • ArcelorMittal Gijón (14.29%)
  • Steel mill pollution (14.29%)
  • Steel mills in France (14.29%)
  • Steel mills in the United States (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, 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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 169 [Bruce Springsteen] *
                            36 [Steel Mill] *
                            1 [ArcelorMittal Gijón] *
                            1 [Steel mill pollution] *
                            1 [Steel mills in France] *
                            1 [Steel mills in the United States]
                           )

                         = 6.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Bruce Springsteen] *
                            1 [Steel Mill] *
                            1 [ArcelorMittal Gijón] *
                            1 [Steel mill pollution] *
                            1 [Steel mills in France] *
                            1 [Steel mills in the United States]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.48% (6.1K overall)
  • This Post (0.48%)
  • ArcelorMittal Gijón (0.48%)
  • Steel mill pollution (0.48%)
  • Steel mills in France (0.48%)
  • Steel mills in the United States (0.48%)
Dominant nodes (excluded from chart)
Bruce Springsteen 80.48%Steel Mill 17.14%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Bruce Springsteen (14.29%)
  • Steel Mill (14.29%)
  • ArcelorMittal Gijón (14.29%)
  • Steel mill pollution (14.29%)
  • Steel mills in France (14.29%)
  • Steel mills in the United States (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bruce Springsteen ↗
Str: 169Inf: 1
Steel Mill ↗
Str: 36Inf: 1
ArcelorMittal Gijón ↗
Str: 1Inf: 1
Steel mill pollution ↗
Str: 1Inf: 1
Steel mills in France ↗
Str: 1Inf: 1
Steel mills in the United States ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Steel mills in the United States ↗
Str: 1Inf: 1
Steel mills in France ↗
Str: 1Inf: 1
Steel mill pollution ↗
Str: 1Inf: 1
ArcelorMittal Gijón ↗
Str: 1Inf: 1
Steel Mill ↗
Str: 36Inf: 1
Bruce Springsteen ↗
Str: 169Inf: 1

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

Outbound Tags (1)
Steel Mill
Inbound Posts (1)
Steel Mill
Last calculated: Jun 24, 11:34 PM
27

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