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, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 10 = 90
Base_Influence (IV) = $inbound / $outbound = 9 / 10 = 0.9
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 60 [Ninja] *
1 [Dolls Museum] *
1 [Gannen-ji Temple] *
1 [Haiku Monument of Matsuo Basho] *
1 [Hoshoji Temple] *
1 [Korin-ji Temple] *
1 [Museum of Architecture Kanazawa] *
1 [Ninja Weapon Museum] *
1 [Sankoji Temple] *
1 [Yoshiro and Yoshio Taniguchi]
)
= 5.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9 *
( 1.67 [Ninja] *
1 [Dolls Museum] *
1 [Gannen-ji Temple] *
1 [Haiku Monument of Matsuo Basho] *
1 [Hoshoji Temple] *
1 [Korin-ji Temple] *
1 [Museum of Architecture Kanazawa] *
1 [Ninja Weapon Museum] *
1 [Sankoji Temple] *
1 [Yoshiro and Yoshio Taniguchi]
)
= 1.5
Outbound
9
Tags on post
Inbound
10
Posts tagging this
Connections
10
Total nodes
Base Node Strength
90
Base Node Influence
0.9
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ninja 37.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)