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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 100 [Team Dresch] *
9 [Apr 20 1996 Bikini Kill] *
49 [Donna Dresch] *
4 [Marcéo Martinez] *
1 [Kaia Wilson] *
1 [Amanda Kelly] *
4 [Scott Plouf] *
4 [Marci Martinez] *
1 [Tamala Poljak] *
49 [melissa-york] *
1 [Family Outing] *
1 [Hazel (4)]
)
= 1.24B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Team Dresch] *
1 [Apr 20 1996 Bikini Kill] *
1 [Donna Dresch] *
1 [Marcéo Martinez] *
1 [Kaia Wilson] *
1 [Amanda Kelly] *
1 [Scott Plouf] *
1 [Marci Martinez] *
1 [Tamala Poljak] *
1 [melissa-york] *
1 [Family Outing] *
1 [Hazel (4)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
12
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Team Dresch 42.92%Donna Dresch 21.03%melissa-york 21.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
