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 *
( 4 [Michael Mayer] *
9 [Michael Cunningham] *
64 [Robin Wright] *
289 [A Home at the End of the World] *
1 [Andrew Chalmers] *
1 [Asia Vieira] *
25 [Barna Moricz] *
16 [Dallas Roberts] *
1 [Erik Smith] *
1 [Harris Allan] *
1 [Jeff J.J. Authors] *
1 [Lisa Merchant] *
9 [Matt Frewer] *
25 [Ron Lea] *
25 [Ryan Donowho] *
1 [Shawn Roberts] *
4 [Virginia Reh]
)
= 5.99T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael Mayer] *
1 [Michael Cunningham] *
1 [Robin Wright] *
1 [A Home at the End of the World] *
1 [Andrew Chalmers] *
1 [Asia Vieira] *
1 [Barna Moricz] *
1 [Dallas Roberts] *
1 [Erik Smith] *
1 [Harris Allan] *
1 [Jeff J.J. Authors] *
1 [Lisa Merchant] *
1 [Matt Frewer] *
1 [Ron Lea] *
1 [Ryan Donowho] *
1 [Shawn Roberts] *
1 [Virginia Reh]
)
= 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)A Home at the End of the World 60.46%Robin Wright 13.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)