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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 420 [The Adjustment Bureau] *
16 [Jon Stewart] *
36 [Matt Damon] *
49 [Anthony Mackie] *
36 [Emily Blunt] *
16 [John Slattery] *
16 [Chuck Scarborough] *
1 [Darrell Lenormand] *
1 [Florence Kastriner] *
1 [Gregory Lay] *
1 [Kar Fearon] *
9 [Lauren Hodges] *
1 [Lisa Thoreson] *
16 [Natalie Carter] *
1 [Phyllis MacBryde] *
1 [RJ Konner] *
1 [Susan D. Michaels] *
9 [Venida Evans] *
16 [James Carville] *
64 [Terence Stamp]
)
= 1.45 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.05 [The Adjustment Bureau] *
1 [Jon Stewart] *
1 [Matt Damon] *
1 [Anthony Mackie] *
1 [Emily Blunt] *
1 [John Slattery] *
1 [Chuck Scarborough] *
1 [Darrell Lenormand] *
1 [Florence Kastriner] *
1 [Gregory Lay] *
1 [Kar Fearon] *
1 [Lauren Hodges] *
1 [Lisa Thoreson] *
1 [Natalie Carter] *
1 [Phyllis MacBryde] *
1 [RJ Konner] *
1 [Susan D. Michaels] *
1 [Venida Evans] *
1 [James Carville] *
1 [Terence Stamp]
)
= 1.05
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(1.45 × 1017 overall)
Dominant nodes (excluded from chart)The Adjustment Bureau 58.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)