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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Moa Kikuchi] *
4 [Suzuka Nakamoto] *
4 [Yui Mizuno] *
361 [Sakura Gakuin] *
1 [Airi Matsui] *
1 [Ayaka Miyoshi] *
1 [å2¡ç°æ] *
1 [å±±åoæå] *
1 [Hana Taguchi] *
1 [Hinata Sato] *
1 [Marina Horiuchi] *
1 [Nene Sugisaki] *
1 [Raura Iida] *
1 [Rinon Isono] *
1 [Saki Ooga] *
1 [Yunano Notsu] *
1 [åå3¶é¢ ̄è ̄] *
4 [å2¡å ́ç3⁄4ã
å] *
1 [åç°ç1⁄2èé¦]
)
= 577.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Moa Kikuchi] *
1 [Suzuka Nakamoto] *
1 [Yui Mizuno] *
1 [Sakura Gakuin] *
1 [Airi Matsui] *
1 [Ayaka Miyoshi] *
1 [å2¡ç°æ] *
1 [å±±åoæå] *
1 [Hana Taguchi] *
1 [Hinata Sato] *
1 [Marina Horiuchi] *
1 [Nene Sugisaki] *
1 [Raura Iida] *
1 [Rinon Isono] *
1 [Saki Ooga] *
1 [Yunano Notsu] *
1 [åå3¶é¢ ̄è ̄] *
1 [å2¡å ́ç3⁄4ã
å] *
1 [åç°ç1⁄2èé¦]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Sakura Gakuin 87.41%Moa Kikuchi 6.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)