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, 0) = 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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [Marco Pirroni] *
64 [Robert Smith] *
49 [Martin McCarrick] *
25 [John McGeoch] *
9 [Sid Vicious] *
256 [Siouxsie and the Banshees] *
25 [Knox Chandler] *
1 [Steven Severin] *
4 [John Beverley] *
1 [John McKay] *
25 [John Valentine Carruthers] *
1 [Jon Klein] *
4 [Kenny Morris] *
1 [Pete Fenton] *
9 [Peter Clarke (5)] *
4 [Susan Ballion] *
9 [Siouxsie Sioux]
)
= 7.08 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Marco Pirroni] *
1 [Robert Smith] *
1 [Martin McCarrick] *
1 [John McGeoch] *
1 [Sid Vicious] *
1 [Siouxsie and the Banshees] *
1 [Knox Chandler] *
1 [Steven Severin] *
1 [John Beverley] *
1 [John McKay] *
1 [John Valentine Carruthers] *
1 [Jon Klein] *
1 [Kenny Morris] *
1 [Pete Fenton] *
1 [Peter Clarke (5)] *
1 [Susan Ballion] *
1 [Siouxsie Sioux]
)
= 1
Outbound
1
Tags on post
Inbound
0
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(7.08 × 1016 overall)
Dominant nodes (excluded from chart)Siouxsie and the Banshees 42.04%Marco Pirroni 19.87%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.