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Kenji KonishiYoshikazu Takahashi (2)Shunichi MiuraP-ModelKotobuki HikaruYasuchika FujiiWataru KamiryoYasuhiro ArakiKatsuhiko AkiyamaSusumu Hirasawa

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Connected Bands/Artists

  • 4 D
  • 99.99
  • AFTER DINNER
  • Blan(
  • Installing
  • Metrofarce
  • P-Model
  • RedRails

Connected Musicians

  • Hajime Fukuma
  • Katsuhiko Akiyama
  • Kenji Konishi
  • Kikuchi Tatsuya
  • Kotobuki Hikaru
  • Sadatoshi Tainaka
  • Shunichi Miura
  • Susumu Hirasawa
  • Teruo Nakano
  • Wataru Kamiryo
  • Yasuchika Fujii
  • Yasuhiro Araki
  • Yasumi Tanaka
  • Yoshikazu Takahashi (2)

Analyzing Network Connections...

Network Profile

Overall Strength
i
15.24% of network
(40.64B)
Strength Breakdown
  • This Post (15.24%)
  • Hajime Fukuma (2.14%)
  • AFTER DINNER (0.24%)
  • Kenji Konishi (0.24%)
  • Kikuchi Tatsuya (0.24%)
  • Kotobuki Hikaru (0.24%)
  • Sadatoshi Tainaka (0.24%)
  • Shunichi Miura (0.24%)
  • Yasuchika Fujii (0.24%)
  • Yasuhiro Araki (0.24%)
  • Yasumi Tanaka (0.24%)
  • Yoshikazu Takahashi (2) (0.24%)
  • 4 D (0.24%)
  • 99.99 (0.24%)
  • Blan( (0.24%)
  • Installing (0.24%)
  • Metrofarce (0.24%)
  • RedRails (0.24%)
Dominant nodes (excluded from chart)
P-Model 53.57%Susumu Hirasawa 11.67%Katsuhiko Akiyama 5.95%Teruo Nakano 3.81%Wataru Kamiryo 3.81%
Influence Score
i
4.35% of network
(1)
Influence Breakdown
  • This Post (4.35%)
  • AFTER DINNER (4.35%)
  • P-Model (4.35%)
  • Hajime Fukuma (4.35%)
  • Katsuhiko Akiyama (4.35%)
  • Kenji Konishi (4.35%)
  • Kikuchi Tatsuya (4.35%)
  • Kotobuki Hikaru (4.35%)
  • Sadatoshi Tainaka (4.35%)
  • Shunichi Miura (4.35%)
  • Susumu Hirasawa (4.35%)
  • Teruo Nakano (4.35%)
  • Wataru Kamiryo (4.35%)
  • Yasuchika Fujii (4.35%)
  • Yasuhiro Araki (4.35%)
  • Yasumi Tanaka (4.35%)
  • Yoshikazu Takahashi (2) (4.35%)
  • 4 D (4.35%)
  • 99.99 (4.35%)
  • Blan( (4.35%)
  • Installing (4.35%)
  • Metrofarce (4.35%)
  • RedRails (4.35%)
Direct Connections 16

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, 8) = 8
$outbound = max(1, 8) = 8

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1

// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 64 *
                           ( 1 [AFTER DINNER] *
                            225 [P-Model] *
                            9 [Hajime Fukuma] *
                            25 [Katsuhiko Akiyama] *
                            1 [Kenji Konishi] *
                            1 [Kikuchi Tatsuya] *
                            1 [Kotobuki Hikaru] *
                            1 [Sadatoshi Tainaka] *
                            1 [Shunichi Miura] *
                            49 [Susumu Hirasawa] *
                            16 [Teruo Nakano] *
                            16 [Wataru Kamiryo] *
                            1 [Yasuchika Fujii] *
                            1 [Yasuhiro Araki] *
                            1 [Yasumi Tanaka] *
                            1 [Yoshikazu Takahashi (2)] *
                            1 [4 D] *
                            1 [99.99] *
                            1 [Blan(] *
                            1 [Installing] *
                            1 [Metrofarce] *
                            1 [RedRails]
                           )

                         = 40.64B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [AFTER DINNER] *
                            1 [P-Model] *
                            1 [Hajime Fukuma] *
                            1 [Katsuhiko Akiyama] *
                            1 [Kenji Konishi] *
                            1 [Kikuchi Tatsuya] *
                            1 [Kotobuki Hikaru] *
                            1 [Sadatoshi Tainaka] *
                            1 [Shunichi Miura] *
                            1 [Susumu Hirasawa] *
                            1 [Teruo Nakano] *
                            1 [Wataru Kamiryo] *
                            1 [Yasuchika Fujii] *
                            1 [Yasuhiro Araki] *
                            1 [Yasumi Tanaka] *
                            1 [Yoshikazu Takahashi (2)] *
                            1 [4 D] *
                            1 [99.99] *
                            1 [Blan(] *
                            1 [Installing] *
                            1 [Metrofarce] *
                            1 [RedRails]
                           )

                         = 1
Outbound 8 Tags on post
Inbound 8 Posts tagging this
Connections 22 Total nodes
Base Node Strength 64
Base Node Influence 1
Strength Share (vs Direct Neighbours)
15.24% (40.64B overall)
  • This Post (15.24%)
  • Hajime Fukuma (2.14%)
  • AFTER DINNER (0.24%)
  • Kenji Konishi (0.24%)
  • Kikuchi Tatsuya (0.24%)
  • Kotobuki Hikaru (0.24%)
  • Sadatoshi Tainaka (0.24%)
  • Shunichi Miura (0.24%)
  • Yasuchika Fujii (0.24%)
  • Yasuhiro Araki (0.24%)
  • Yasumi Tanaka (0.24%)
  • Yoshikazu Takahashi (2) (0.24%)
  • 4 D (0.24%)
  • 99.99 (0.24%)
  • Blan( (0.24%)
  • Installing (0.24%)
  • Metrofarce (0.24%)
  • RedRails (0.24%)
Dominant nodes (excluded from chart)
P-Model 53.57%Susumu Hirasawa 11.67%Katsuhiko Akiyama 5.95%Teruo Nakano 3.81%Wataru Kamiryo 3.81%
Influence Share (vs Direct Neighbours)
4.35% (1 overall)
  • This Post (4.35%)
  • AFTER DINNER (4.35%)
  • P-Model (4.35%)
  • Hajime Fukuma (4.35%)
  • Katsuhiko Akiyama (4.35%)
  • Kenji Konishi (4.35%)
  • Kikuchi Tatsuya (4.35%)
  • Kotobuki Hikaru (4.35%)
  • Sadatoshi Tainaka (4.35%)
  • Shunichi Miura (4.35%)
  • Susumu Hirasawa (4.35%)
  • Teruo Nakano (4.35%)
  • Wataru Kamiryo (4.35%)
  • Yasuchika Fujii (4.35%)
  • Yasuhiro Araki (4.35%)
  • Yasumi Tanaka (4.35%)
  • Yoshikazu Takahashi (2) (4.35%)
  • 4 D (4.35%)
  • 99.99 (4.35%)
  • Blan( (4.35%)
  • Installing (4.35%)
  • Metrofarce (4.35%)
  • RedRails (4.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
AFTER DINNER ↗
Str: 1Inf: 1
P-Model ↗
Str: 225Inf: 1
Hajime Fukuma ↗
Str: 9Inf: 1
Katsuhiko Akiyama ↗
Str: 25Inf: 1
Kenji Konishi ↗
Str: 1Inf: 1
Kikuchi Tatsuya ↗
Str: 1Inf: 1
Kotobuki Hikaru ↗
Str: 1Inf: 1
Sadatoshi Tainaka ↗
Str: 1Inf: 1
Shunichi Miura ↗
Str: 1Inf: 1
Susumu Hirasawa ↗
Str: 49Inf: 1
Teruo Nakano ↗
Str: 16Inf: 1
Wataru Kamiryo ↗
Str: 16Inf: 1
Yasuchika Fujii ↗
Str: 1Inf: 1
Yasuhiro Araki ↗
Str: 1Inf: 1
Yasumi Tanaka ↗
Str: 1Inf: 1
Yoshikazu Takahashi (2) ↗
Str: 1Inf: 1
4 D ↗
Str: 1Inf: 1
99.99 ↗
Str: 1Inf: 1
Blan( ↗
Str: 1Inf: 1
Installing ↗
Str: 1Inf: 1
Metrofarce ↗
Str: 1Inf: 1
RedRails ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
RedRails ↗
Str: 1Inf: 1
Metrofarce ↗
Str: 1Inf: 1
Installing ↗
Str: 1Inf: 1
Blan( ↗
Str: 1Inf: 1
99.99 ↗
Str: 1Inf: 1
4 D ↗
Str: 1Inf: 1
Yoshikazu Takahashi (2) ↗
Str: 1Inf: 1
Yasumi Tanaka ↗
Str: 1Inf: 1
Yasuhiro Araki ↗
Str: 1Inf: 1
Yasuchika Fujii ↗
Str: 1Inf: 1
Wataru Kamiryo ↗
Str: 16Inf: 1
Teruo Nakano ↗
Str: 16Inf: 1
Susumu Hirasawa ↗
Str: 49Inf: 1
Shunichi Miura ↗
Str: 1Inf: 1
Sadatoshi Tainaka ↗
Str: 1Inf: 1
Kotobuki Hikaru ↗
Str: 1Inf: 1
Kikuchi Tatsuya ↗
Str: 1Inf: 1
Kenji Konishi ↗
Str: 1Inf: 1
Katsuhiko Akiyama ↗
Str: 25Inf: 1
Hajime Fukuma ↗
Str: 9Inf: 1
P-Model ↗
Str: 225Inf: 1
AFTER DINNER ↗
Str: 1Inf: 1

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

Outbound Tags (8)
4 D
99.99
AFTER DINNER
Blan(
Installing
Metrofarce
P-Model
RedRails
Inbound Posts (8)
P-Model
4 D
99.99
AFTER DINNER
Blan(
Installing
Metrofarce
RedRails
Last calculated: Jul 2, 9:21 PM
33

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