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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 156 [Kara] *
1 [Hara (17)] *
1 [Jiyoung] *
1 [Nicole (86)] *
4 [Seungyeon] *
1 [Sunghee] *
4 [Han Seung-yeon] *
4 [Heo Youngji] *
9 [Kang Ji-young] *
1 [Nicole Jung] *
4 [Park Gyu-ri] *
90 [Togo]
)
= 32.35M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.08 [Kara] *
1 [Hara (17)] *
1 [Jiyoung] *
1 [Nicole (86)] *
1 [Seungyeon] *
1 [Sunghee] *
1 [Han Seung-yeon] *
1 [Heo Youngji] *
1 [Kang Ji-young] *
1 [Nicole Jung] *
1 [Park Gyu-ri] *
0.9 [Togo]
)
= 0.975
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kara 56.32%Togo 32.49%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)