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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [Space Academy] *
16 [Don Pedro Colley] *
4 [George DiCenzo] *
4 [Jonathan Harris] *
4 [Howard Morris] *
9 [Dal McKennon] *
1 [Arnold Soboloff] *
1 [Dena Dietrich] *
1 [Eric Greene] *
1 [Erika Scheimer] *
1 [John Berwick] *
1 [Lawrence Dobkin] *
1 [Lou Scheimer] *
1 [Maggie Cooper] *
1 [Pamelyn Ferdin] *
1 [Paula Wagner] *
1 [Ric Carrott] *
1 [Ty Henderson]
)
= 2.99M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Space Academy] *
1 [Don Pedro Colley] *
1 [George DiCenzo] *
1 [Jonathan Harris] *
1 [Howard Morris] *
1 [Dal McKennon] *
1 [Arnold Soboloff] *
1 [Dena Dietrich] *
1 [Eric Greene] *
1 [Erika Scheimer] *
1 [John Berwick] *
1 [Lawrence Dobkin] *
1 [Lou Scheimer] *
1 [Maggie Cooper] *
1 [Pamelyn Ferdin] *
1 [Paula Wagner] *
1 [Ric Carrott] *
1 [Ty Henderson]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Space Academy 86.63%Don Pedro Colley 4.28%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)