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 *
( 12 [Ina Fried] *
20 [Norman Lloyd] *
56 [David Morse] *
56 [Denzel Washington] *
342 [St. Elsewhere] *
16 [William Daniels] *
1 [Bonnie Bartlett] *
36 [Mark Harmon] *
9 [Ed Flanders] *
36 [Stephen Furst] *
25 [Christina Pickles] *
1 [Sagan Lewis] *
16 [Ellen Bry] *
16 [Eric Laneuville] *
4 [Jennifer Savidge] *
25 [Kavi Raz] *
1 [Terence Knox] *
36 [Ed Begley, Jr.]
)
= 1.11 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Ina Fried] *
1.25 [Norman Lloyd] *
1.14 [David Morse] *
1.14 [Denzel Washington] *
1.06 [St. Elsewhere] *
1 [William Daniels] *
1 [Bonnie Bartlett] *
1 [Mark Harmon] *
1 [Ed Flanders] *
1 [Stephen Furst] *
1 [Christina Pickles] *
1 [Sagan Lewis] *
1 [Ellen Bry] *
1 [Eric Laneuville] *
1 [Jennifer Savidge] *
1 [Kavi Raz] *
1 [Terence Knox] *
1 [Ed Begley, Jr.]
)
= 2.3
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)
0.14%
(1.11 × 1021 overall)
Dominant nodes (excluded from chart)St. Elsewhere 48.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)