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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 56 [Yosui Inoue] *
9 [Mariya Takeuchi] *
36 [Tatsuro Yamashita] *
9 [Junko Ohashi] *
16 [Masayoshi Takanaka] *
16 [Taeko Ohnuki] *
64 [City pop] *
9 [Chorus Japan] *
4 [Peach & Apricot] *
16 [Masayuki Suzuki] *
1 [Sayuri Ishikawa] *
20 [Miho Nakayama]
)
= 493.14T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.14 [Yosui Inoue] *
1 [Mariya Takeuchi] *
1 [Tatsuro Yamashita] *
1 [Junko Ohashi] *
1 [Masayoshi Takanaka] *
1 [Taeko Ohnuki] *
1 [City pop] *
1 [Chorus Japan] *
1 [Peach & Apricot] *
1 [Masayuki Suzuki] *
1 [Sayuri Ishikawa] *
0.8 [Miho Nakayama]
)
= 0.9143
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
12
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)