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Tom Mikkola
tom-mikkolaS-Toolaksu-hanttu
Aksu Hanttu
Entwine
TuoniFurnace (3)

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Connected Bands/Artists

  • Entwine
    Entwine band photo
  • Furnace (3)
  • S-Tool
  • Tuoni

Connected Musicians

  • Aksu Hanttu
    Aksu Hanttu band photo
  • aksu-hanttu
  • Tom Mikkola
    Tom Mikkola band photo
  • tom-mikkola

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.21% of network
(5.56B)
Strength Breakdown
  • This Post (3.21%)
  • Entwine (57.43%)
  • S-Tool (12.05%)
  • aksu-hanttu (10.04%)
  • Tuoni (9.64%)
  • tom-mikkola (3.61%)
  • Aksu Hanttu (2.01%)
  • Tom Mikkola (1.20%)
  • Furnace (3) (0.80%)
Influence Score
i
3.75% of network
(1.76)
Influence Breakdown
  • This Post (3.75%)
  • Aksu Hanttu (37.46%)
  • Tom Mikkola (22.48%)
  • aksu-hanttu (7.49%)
  • tom-mikkola (7.49%)
  • Entwine (6.34%)
  • S-Tool (6.24%)
  • Tuoni (5.00%)
  • Furnace (3) (3.75%)
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, 2) = 2
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 4 = 8
Base_Influence (IV) = $inbound / $outbound = 2 / 4 = 0.5

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 8 *
                           ( 5 [Aksu Hanttu] *
                            3 [Tom Mikkola] *
                            25 [aksu-hanttu] *
                            9 [tom-mikkola] *
                            143 [Entwine] *
                            30 [S-Tool] *
                            24 [Tuoni] *
                            2 [Furnace (3)]
                           )

                         = 5.56B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 5 [Aksu Hanttu] *
                            3 [Tom Mikkola] *
                            1 [aksu-hanttu] *
                            1 [tom-mikkola] *
                            0.8462 [Entwine] *
                            0.8333 [S-Tool] *
                            0.6667 [Tuoni] *
                            0.5 [Furnace (3)]
                           )

                         = 1.76
Outbound 2 Tags on post
Inbound 4 Posts tagging this
Connections 8 Total nodes
Base Node Strength 8
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
3.21% (5.56B overall)
  • This Post (3.21%)
  • Entwine (57.43%)
  • S-Tool (12.05%)
  • aksu-hanttu (10.04%)
  • Tuoni (9.64%)
  • tom-mikkola (3.61%)
  • Aksu Hanttu (2.01%)
  • Tom Mikkola (1.20%)
  • Furnace (3) (0.80%)
Influence Share (vs Direct Neighbours)
3.75% (1.76 overall)
  • This Post (3.75%)
  • Aksu Hanttu (37.46%)
  • Tom Mikkola (22.48%)
  • aksu-hanttu (7.49%)
  • tom-mikkola (7.49%)
  • Entwine (6.34%)
  • S-Tool (6.24%)
  • Tuoni (5.00%)
  • Furnace (3) (3.75%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Aksu Hanttu ↗
Str: 5Inf: 5
Tom Mikkola ↗
Str: 3Inf: 3
aksu-hanttu ↗
Str: 25Inf: 1
tom-mikkola ↗
Str: 9Inf: 1
Entwine ↗
Str: 143Inf: 0.8462
S-Tool ↗
Str: 30Inf: 0.8333
Tuoni ↗
Str: 24Inf: 0.6667
Furnace (3) ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Furnace (3) ↗
Str: 2Inf: 0.5
Tuoni ↗
Str: 24Inf: 0.6667
S-Tool ↗
Str: 30Inf: 0.8333
Entwine ↗
Str: 143Inf: 0.8462
tom-mikkola ↗
Str: 9Inf: 1
aksu-hanttu ↗
Str: 25Inf: 1
Tom Mikkola ↗
Str: 3Inf: 3
Aksu Hanttu ↗
Str: 5Inf: 5

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

Outbound Tags (2)
aksu-hanttu
tom-mikkola
Inbound Posts (4)
Tom Mikkola
BROKEN LINK
Aksu Hanttu
BROKEN LINK
aksu-hanttu
tom-mikkola
Last calculated: Jun 20, 6:05 AM
16

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