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Keiji Haino
Vajra (2)Ryokaku KeikakuSanjahShidamyoujinGubenJokers (2)CinoramaJo RanMikami Kan Ishizuka Toshiaki Duo

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Connected Bands/Artists

  • Cinorama
  • Guben
  • Jo Ran
  • Jokers (2)
  • Mikami Kan Ishizuka Toshiaki Duo
  • Ryokaku Keikaku
  • Sanjah
  • Shidamyoujin
  • Vajra (2)

Connected Musicians

  • Keiji Haino
    Keiji Haino band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
30.92% of network
(54.8K)
Strength Breakdown
  • This Post (30.92%)
  • Vajra (2) (1.53%)
  • Cinorama (0.38%)
  • Guben (0.38%)
  • Jo Ran (0.38%)
  • Jokers (2) (0.38%)
  • Mikami Kan Ishizuka Toshiaki Duo (0.38%)
  • Ryokaku Keikaku (0.38%)
  • Sanjah (0.38%)
  • Shidamyoujin (0.38%)
Dominant nodes (excluded from chart)
Keiji Haino 64.50%
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • Vajra (2) (9.09%)
  • Cinorama (9.09%)
  • Guben (9.09%)
  • Jo Ran (9.09%)
  • Jokers (2) (9.09%)
  • Mikami Kan Ishizuka Toshiaki Duo (9.09%)
  • Ryokaku Keikaku (9.09%)
  • Sanjah (9.09%)
  • Shidamyoujin (9.09%)
  • Keiji Haino (9.09%)
Direct Connections 18

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, 9) = 9
$outbound = max(1, 9) = 9

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 81 *
                           ( 4 [Vajra (2)] *
                            1 [Cinorama] *
                            1 [Guben] *
                            1 [Jo Ran] *
                            1 [Jokers (2)] *
                            1 [Mikami Kan Ishizuka Toshiaki Duo] *
                            1 [Ryokaku Keikaku] *
                            1 [Sanjah] *
                            1 [Shidamyoujin] *
                            169 [Keiji Haino]
                           )

                         = 54.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Vajra (2)] *
                            1 [Cinorama] *
                            1 [Guben] *
                            1 [Jo Ran] *
                            1 [Jokers (2)] *
                            1 [Mikami Kan Ishizuka Toshiaki Duo] *
                            1 [Ryokaku Keikaku] *
                            1 [Sanjah] *
                            1 [Shidamyoujin] *
                            1 [Keiji Haino]
                           )

                         = 1
Outbound 9 Tags on post
Inbound 9 Posts tagging this
Connections 10 Total nodes
Base Node Strength 81
Base Node Influence 1
Strength Share (vs Direct Neighbours)
30.92% (54.8K overall)
  • This Post (30.92%)
  • Vajra (2) (1.53%)
  • Cinorama (0.38%)
  • Guben (0.38%)
  • Jo Ran (0.38%)
  • Jokers (2) (0.38%)
  • Mikami Kan Ishizuka Toshiaki Duo (0.38%)
  • Ryokaku Keikaku (0.38%)
  • Sanjah (0.38%)
  • Shidamyoujin (0.38%)
Dominant nodes (excluded from chart)
Keiji Haino 64.50%
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • Vajra (2) (9.09%)
  • Cinorama (9.09%)
  • Guben (9.09%)
  • Jo Ran (9.09%)
  • Jokers (2) (9.09%)
  • Mikami Kan Ishizuka Toshiaki Duo (9.09%)
  • Ryokaku Keikaku (9.09%)
  • Sanjah (9.09%)
  • Shidamyoujin (9.09%)
  • Keiji Haino (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Vajra (2) ↗
Str: 4Inf: 1
Cinorama ↗
Str: 1Inf: 1
Guben ↗
Str: 1Inf: 1
Jo Ran ↗
Str: 1Inf: 1
Jokers (2) ↗
Str: 1Inf: 1
Mikami Kan Ishizuka Toshiaki Duo ↗
Str: 1Inf: 1
Ryokaku Keikaku ↗
Str: 1Inf: 1
Sanjah ↗
Str: 1Inf: 1
Shidamyoujin ↗
Str: 1Inf: 1
Keiji Haino ↗
Str: 169Inf: 1
Weakest Connections (Lowest Multipliers)
Keiji Haino ↗
Str: 169Inf: 1
Shidamyoujin ↗
Str: 1Inf: 1
Sanjah ↗
Str: 1Inf: 1
Ryokaku Keikaku ↗
Str: 1Inf: 1
Mikami Kan Ishizuka Toshiaki Duo ↗
Str: 1Inf: 1
Jokers (2) ↗
Str: 1Inf: 1
Jo Ran ↗
Str: 1Inf: 1
Guben ↗
Str: 1Inf: 1
Cinorama ↗
Str: 1Inf: 1
Vajra (2) ↗
Str: 4Inf: 1

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

Outbound Tags (9)
Cinorama
Guben
Jo Ran
Jokers (2)
Mikami Kan Ishizuka Toshiaki Duo
Ryokaku Keikaku
Sanjah
Shidamyoujin
Vajra (2)
Inbound Posts (9)
Vajra (2)
Cinorama
Guben
Jo Ran
Jokers (2)
Mikami Kan Ishizuka Toshiaki Duo
Ryokaku Keikaku
Sanjah
Shidamyoujin
Last calculated: Jul 3, 7:22 PM
27

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