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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 196 [Scarlett Johansson] *
256 [Lost in Translation] *
100 [Giovanni Ribisi] *
49 [Anna Faris] *
4 [Take] *
1 [Akiko Takeshita] *
1 [Akira Yamaguchi] *
1 [Catherine Lambert] *
1 [Gregory Pekar] *
1 [Jun Maki] *
1 [Kazuko Shibata] *
1 [Kazuyoshi Minamimagoe] *
1 [Nao Asuka] *
1 [Richard Allen] *
1 [Ryuichiro Baba] *
1 [Tim Leffman]
)
= 983.45M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Scarlett Johansson] *
1 [Lost in Translation] *
1 [Giovanni Ribisi] *
1 [Anna Faris] *
1 [Take] *
1 [Akiko Takeshita] *
1 [Akira Yamaguchi] *
1 [Catherine Lambert] *
1 [Gregory Pekar] *
1 [Jun Maki] *
1 [Kazuko Shibata] *
1 [Kazuyoshi Minamimagoe] *
1 [Nao Asuka] *
1 [Richard Allen] *
1 [Ryuichiro Baba] *
1 [Tim Leffman]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lost in Translation 41.49%Scarlett Johansson 31.77%Giovanni Ribisi 16.21%Anna Faris 7.94%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)