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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 15 [Sana] *
6 [Ji Hyo] *
210 [TWICE] *
4 [Niji no Conquistador] *
1 [æ ̧
æ° ́çå] *
49 [BLACKPINK] *
1 [Jennie Kim (2)] *
1 [Lalisa Manoban] *
1 [Roseanne Park] *
1 [Jisoo] *
1 [Blackpink tours] *
1 [Advertisements of Blackpink] *
16 [Chaeyoung] *
4 [Jeongyeon] *
9 [Jihyo] *
1 [Nayeon] *
4 [Tzuyu] *
4 [Na Yeon] *
4 [Sana (9)] *
1 [Jung Yeon] *
1 [Mina (33)] *
1 [Momo (87)] *
1 [MiSaMo]
)
= 1.23T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [Sana] *
1.5 [Ji Hyo] *
1.07 [TWICE] *
1 [Niji no Conquistador] *
1 [æ ̧
æ° ́çå] *
1 [BLACKPINK] *
1 [Jennie Kim (2)] *
1 [Lalisa Manoban] *
1 [Roseanne Park] *
1 [Jisoo] *
1 [Blackpink tours] *
1 [Advertisements of Blackpink] *
1 [Chaeyoung] *
1 [Jeongyeon] *
1 [Jihyo] *
1 [Nayeon] *
1 [Tzuyu] *
1 [Na Yeon] *
1 [Sana (9)] *
1 [Jung Yeon] *
1 [Mina (33)] *
1 [Momo (87)] *
1 [MiSaMo]
)
= 2.68
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
23
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)TWICE 60.69%BLACKPINK 14.16%Chaeyoung 4.62%Sana 4.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)