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 *
( 25 [Tyne Daly] *
25 [Candice Bergen] *
16 [Mark McEwen] *
16 [Charles Kimbrough] *
36 [Robert Pastorelli] *
9 [Jake McDorman] *
361 [Murphy Brown] *
1 [John Hostetter] *
1 [Charlotte Price] *
1 [Christopher Rich] *
1 [Ernest-Frank Taylor] *
1 [Faith Ford] *
1 [Garry Marshall] *
1 [Grant Shaud] *
1 [Joe Regalbuto] *
1 [Nik Dodani] *
1 [Pat Corley] *
1 [Peter Chew] *
1 [Ritch Brinkley]
)
= 18.71B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tyne Daly] *
1 [Candice Bergen] *
1 [Mark McEwen] *
1 [Charles Kimbrough] *
1 [Robert Pastorelli] *
1 [Jake McDorman] *
1 [Murphy Brown] *
1 [John Hostetter] *
1 [Charlotte Price] *
1 [Christopher Rich] *
1 [Ernest-Frank Taylor] *
1 [Faith Ford] *
1 [Garry Marshall] *
1 [Grant Shaud] *
1 [Joe Regalbuto] *
1 [Nik Dodani] *
1 [Pat Corley] *
1 [Peter Chew] *
1 [Ritch Brinkley]
)
= 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)Murphy Brown 72.06%Robert Pastorelli 7.19%Tyne Daly 4.99%Candice Bergen 4.99%Mark McEwen 3.19%Charles Kimbrough 3.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)