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TUMOJukka EskolaVille HerralaIlmari Pohjola
Verneri Pohjola
Stefan PasborgPohjolan Ilmari

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Connected Bands/Artists

  • Stefan Pasborg

Connected Musicians

  • Ilmari Pohjola
  • Jukka Eskola
  • Pohjolan Ilmari
  • Verneri Pohjola
    Verneri Pohjola band photo
  • Ville Herrala

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.07% of network
(1.53 × 1015)
Strength Breakdown
  • This Post (0.07%)
  • Ville Herrala (26.22%)
  • Verneri Pohjola (23.53%)
  • Jukka Eskola (20.99%)
  • Stefan Pasborg (16.34%)
  • Ilmari Pohjola (4.65%)
  • Pohjolan Ilmari (4.65%)
  • TUMO (3.56%)
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Stefan Pasborg (12.50%)
  • Jukka Eskola (12.50%)
  • Verneri Pohjola (12.50%)
  • TUMO (12.50%)
  • Ville Herrala (12.50%)
  • Ilmari Pohjola (12.50%)
  • Pohjolan Ilmari (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 225 [Stefan Pasborg] *
                            289 [Jukka Eskola] *
                            324 [Verneri Pohjola] *
                            49 [TUMO] *
                            361 [Ville Herrala] *
                            64 [Ilmari Pohjola] *
                            64 [Pohjolan Ilmari]
                           )

                         = 1.53 x 10^15

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Stefan Pasborg] *
                            1 [Jukka Eskola] *
                            1 [Verneri Pohjola] *
                            1 [TUMO] *
                            1 [Ville Herrala] *
                            1 [Ilmari Pohjola] *
                            1 [Pohjolan Ilmari]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.07% (1.53 × 1015 overall)
  • This Post (0.07%)
  • Ville Herrala (26.22%)
  • Verneri Pohjola (23.53%)
  • Jukka Eskola (20.99%)
  • Stefan Pasborg (16.34%)
  • Ilmari Pohjola (4.65%)
  • Pohjolan Ilmari (4.65%)
  • TUMO (3.56%)
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Stefan Pasborg (12.50%)
  • Jukka Eskola (12.50%)
  • Verneri Pohjola (12.50%)
  • TUMO (12.50%)
  • Ville Herrala (12.50%)
  • Ilmari Pohjola (12.50%)
  • Pohjolan Ilmari (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Stefan Pasborg ↗
Str: 225Inf: 1
Jukka Eskola ↗
Str: 289Inf: 1
Verneri Pohjola ↗
Str: 324Inf: 1
TUMO ↗
Str: 49Inf: 1
Ville Herrala ↗
Str: 361Inf: 1
Ilmari Pohjola ↗
Str: 64Inf: 1
Pohjolan Ilmari ↗
Str: 64Inf: 1
Weakest Connections (Lowest Multipliers)
Pohjolan Ilmari ↗
Str: 64Inf: 1
Ilmari Pohjola ↗
Str: 64Inf: 1
Ville Herrala ↗
Str: 361Inf: 1
TUMO ↗
Str: 49Inf: 1
Verneri Pohjola ↗
Str: 324Inf: 1
Jukka Eskola ↗
Str: 289Inf: 1
Stefan Pasborg ↗
Str: 225Inf: 1

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

Outbound Tags (1)
TUMO
Inbound Posts (1)
TUMO
Last calculated: Sep 21, 5:21 AM
22

Related Content

Locations

  • TUMO