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 *
( 6 [David Furr] *
12 [David Giuntoli] *
9 [John Krasinski] *
9 [James Badge Dale] *
25 [Matt Letscher] *
25 [David Denman] *
4 [Max Martini] *
324 [13 Hours] *
9 [Dominic Fumusa] *
1 [Alexia Barlier] *
1 [David Costabile] *
1 [Freddie Stroma] *
1 [Kenny Sheard] *
1 [Kevin Kent] *
1 [Mike Moriarty] *
1 [Pablo Schreiber] *
1 [Payman Maadi] *
1 [Toby Stephens]
)
= 42.52B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [David Furr] *
1.33 [David Giuntoli] *
1 [John Krasinski] *
1 [James Badge Dale] *
1 [Matt Letscher] *
1 [David Denman] *
1 [Max Martini] *
1 [13 Hours] *
1 [Dominic Fumusa] *
1 [Alexia Barlier] *
1 [David Costabile] *
1 [Freddie Stroma] *
1 [Kenny Sheard] *
1 [Kevin Kent] *
1 [Mike Moriarty] *
1 [Pablo Schreiber] *
1 [Payman Maadi] *
1 [Toby Stephens]
)
= 2
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)13 Hours 74.83%Matt Letscher 5.77%David Denman 5.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)