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 *
( 6 [Alex Datcher] *
4 [G. Gordon Liddy] *
9 [Joe Cortese] *
289 [18 Wheels of Justice] *
16 [Billy Dee Williams] *
16 [Bobby Hosea] *
25 [Brittney Powell] *
25 [Jim Davidson] *
1 [Kristian Rochester] *
4 [Lisa Thornhill] *
1 [Mark Gadbois] *
4 [Matt Battaglia] *
1 [Megan Corletto] *
1 [Robert LaSardo] *
1 [Sandra Hess] *
1 [Susan Haskell] *
1 [Tony W. Randall]
)
= 159.81B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Alex Datcher] *
1 [G. Gordon Liddy] *
1 [Joe Cortese] *
1 [18 Wheels of Justice] *
1 [Billy Dee Williams] *
1 [Bobby Hosea] *
1 [Brittney Powell] *
1 [Jim Davidson] *
1 [Kristian Rochester] *
1 [Lisa Thornhill] *
1 [Mark Gadbois] *
1 [Matt Battaglia] *
1 [Megan Corletto] *
1 [Robert LaSardo] *
1 [Sandra Hess] *
1 [Susan Haskell] *
1 [Tony W. Randall]
)
= 1.5
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)18 Wheels of Justice 71.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)