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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Bae Doona] *
20 [Song Kang-ho] *
4 [Ji Dae-han] *
324 [Sympathy for Mr. Vengeance] *
1 [Byung-Hoon Nam] *
1 [Geum-hee Lee] *
16 [Gi Ju-bong] *
1 [Jae-woong Park] *
1 [Jeong Gyu-su] *
1 [Jong-su Heo] *
16 [Lee Dae-yeon] *
16 [Lee Jeong-wook] *
1 [Lim Ji-eun] *
16 [Ryu Seung-beom] *
1 [Ryu Seung-wan] *
1 [Se-dong Kim] *
1 [Shin Ha-kyun] *
1 [Yoon-mi Lee]
)
= 33.97B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Bae Doona] *
1.25 [Song Kang-ho] *
1 [Ji Dae-han] *
1 [Sympathy for Mr. Vengeance] *
1 [Byung-Hoon Nam] *
1 [Geum-hee Lee] *
1 [Gi Ju-bong] *
1 [Jae-woong Park] *
1 [Jeong Gyu-su] *
1 [Jong-su Heo] *
1 [Lee Dae-yeon] *
1 [Lee Jeong-wook] *
1 [Lim Ji-eun] *
1 [Ryu Seung-beom] *
1 [Ryu Seung-wan] *
1 [Se-dong Kim] *
1 [Shin Ha-kyun] *
1 [Yoon-mi Lee]
)
= 1.56
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Sympathy for Mr. Vengeance 73.14%Bae Doona 4.51%Song Kang-ho 4.51%Gi Ju-bong 3.61%Lee Dae-yeon 3.61%Lee Jeong-wook 3.61%Ryu Seung-beom 3.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)