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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Susan Blommaert] *
9 [Jeremy Crutchley] *
25 [Nick Tate] *
16 [Ron Raines] *
289 [The Blacklist] *
4 [Harry Lennix] *
16 [Declan Mulvey] *
9 [Amir Arison] *
1 [Anya Banerjee] *
1 [Deirdre Lovejoy] *
1 [Diany Rodriguez] *
1 [Genson Blimline] *
1 [Hisham Tawfiq] *
1 [Jonathan Holtzman] *
9 [Laura Sohn] *
1 [Parminder Nagra] *
1 [Teddy Coluca]
)
= 194.16B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Susan Blommaert] *
1 [Jeremy Crutchley] *
1 [Nick Tate] *
1 [Ron Raines] *
1 [The Blacklist] *
1 [Harry Lennix] *
1 [Declan Mulvey] *
1 [Amir Arison] *
1 [Anya Banerjee] *
1 [Deirdre Lovejoy] *
1 [Diany Rodriguez] *
1 [Genson Blimline] *
1 [Hisham Tawfiq] *
1 [Jonathan Holtzman] *
1 [Laura Sohn] *
1 [Parminder Nagra] *
1 [Teddy Coluca]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Blacklist 68.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)