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 *
( 12 [Holly Dennison] *
1 [Kate Mulgrew] *
49 [CCH Pounder] *
36 [Kelly Hu] *
16 [Roger Rees] *
36 [Brent Spiner] *
361 [Warehouse 13] *
1 [Joanne Kelly] *
1 [Aaron Ashmore] *
1 [Allison Scagliotti] *
1 [Eddie McClintock] *
1 [Faran Tahir] *
1 [Jaime Murray] *
1 [Lindsay Wagner] *
9 [Saul Rubinek] *
1 [Jeffrey R. Smith] *
1 [Sasha Roiz] *
1 [Simon Reynolds] *
1 [Paula Garcés]
)
= 39.61B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Holly Dennison] *
1 [Kate Mulgrew] *
1 [CCH Pounder] *
1 [Kelly Hu] *
1 [Roger Rees] *
1 [Brent Spiner] *
1 [Warehouse 13] *
1 [Joanne Kelly] *
1 [Aaron Ashmore] *
1 [Allison Scagliotti] *
1 [Eddie McClintock] *
1 [Faran Tahir] *
1 [Jaime Murray] *
1 [Lindsay Wagner] *
1 [Saul Rubinek] *
1 [Jeffrey R. Smith] *
1 [Sasha Roiz] *
1 [Simon Reynolds] *
1 [Paula Garcés]
)
= 1.33
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)Warehouse 13 67.86%CCH Pounder 9.21%Kelly Hu 6.77%Brent Spiner 6.77%Roger Rees 3.01%Holly Dennison 2.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)