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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [John Cena] *
16 [Dylan Kenin] *
9 [Gregg Henry] *
9 [Tait Fletcher] *
25 [Ivanna Sakhno] *
36 [Michael Rispoli] *
4 [Ethan Embry] *
36 [Amy Smart] *
4 [Rio Alexander] *
4 [Josh Berry] *
9 [Boyd Holbrook] *
361 [The Reunion] *
1 [Al Cantu] *
1 [Anthony Escobar] *
1 [Jack Conley] *
1 [Jayson Merrill] *
1 [Lela Loren] *
1 [Michael Sinclair Walter] *
1 [River Shields]
)
= 78.58T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Cena] *
1 [Dylan Kenin] *
1 [Gregg Henry] *
1 [Tait Fletcher] *
1 [Ivanna Sakhno] *
1 [Michael Rispoli] *
1 [Ethan Embry] *
1 [Amy Smart] *
1 [Rio Alexander] *
1 [Josh Berry] *
1 [Boyd Holbrook] *
1 [The Reunion] *
1 [Al Cantu] *
1 [Anthony Escobar] *
1 [Jack Conley] *
1 [Jayson Merrill] *
1 [Lela Loren] *
1 [Michael Sinclair Walter] *
1 [River Shields]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Reunion 68.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)