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 [Sophina Brown] *
20 [Gerald Downey] *
342 [Because I Said So] *
25 [Stephen Collins] *
4 [Tony Hale] *
9 [Willam Belli] *
25 [Piper Perabo] *
36 [Gabriel Macht] *
9 [Colin Ferguson] *
25 [Alexis Rhee] *
1 [Emily Maisano] *
1 [Ingrid Sanai Buron] *
1 [Jennifer Bolton Lee] *
1 [Karen Leigh Hopkins] *
16 [Lauren Graham] *
4 [Matt Champagne] *
4 [Tom Everett Scott] *
1 [Ty Panitz]
)
= 3.83 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Sophina Brown] *
1.25 [Gerald Downey] *
1.06 [Because I Said So] *
1 [Stephen Collins] *
1 [Tony Hale] *
1 [Willam Belli] *
1 [Piper Perabo] *
1 [Gabriel Macht] *
1 [Colin Ferguson] *
1 [Alexis Rhee] *
1 [Emily Maisano] *
1 [Ingrid Sanai Buron] *
1 [Jennifer Bolton Lee] *
1 [Karen Leigh Hopkins] *
1 [Lauren Graham] *
1 [Matt Champagne] *
1 [Tom Everett Scott] *
1 [Ty Panitz]
)
= 1.76
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)
0.19%
(3.83 × 1015 overall)
Dominant nodes (excluded from chart)Because I Said So 63.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
