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, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 5 = 20
Base_Influence (IV) = $inbound / $outbound = 4 / 5 = 0.8
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 6 [Ji Hyo] *
210 [TWICE] *
16 [Chaeyoung] *
256 [K/DA] *
16 [Twice (25)] *
4 [Madison Beer] *
1 [Bea Miller] *
9 [Jihyo] *
4 [Aluna Francis] *
1 [Annika Wells] *
1 [Jaira Burns] *
9 [Jeon So Yeon] *
1 [Jo Mi Yeon] *
1 [Lexie Liu] *
4 [Na Yeon] *
1 [Rebecca Johnson (2)] *
4 [Sana (9)] *
1 [Wolftyla] *
1 [Han Chae-young] *
1 [Lee Chae-young]
)
= 34.25T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8 *
( 1.5 [Ji Hyo] *
1.07 [TWICE] *
1 [Chaeyoung] *
1 [K/DA] *
1 [Twice (25)] *
1 [Madison Beer] *
1 [Bea Miller] *
1 [Jihyo] *
1 [Aluna Francis] *
1 [Annika Wells] *
1 [Jaira Burns] *
1 [Jeon So Yeon] *
1 [Jo Mi Yeon] *
1 [Lexie Liu] *
1 [Na Yeon] *
1 [Rebecca Johnson (2)] *
1 [Sana (9)] *
1 [Wolftyla] *
1 [Han Chae-young] *
1 [Lee Chae-young]
)
= 1.29
Outbound
4
Tags on post
Inbound
5
Posts tagging this
Connections
20
Total nodes
Base Node Strength
20
Base Node Influence
0.8
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)K/DA 45.15%TWICE 37.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)