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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 9 [Cheryl Lynn] *
25 [Undercover Brother] *
4 [The Holiday] *
576 [Agents of S.H.I.E.L.D.] *
16 [Adrian Pasdar] *
400 [Near Dark] *
1 [Queer Fish in God's Waiting Room] *
324 [Serpico] *
324 [Repo Man] *
16 [Richard Foronjy] *
25 [Midnight Run] *
361 [Ghost Dog: The Way of the Samurai] *
16 [Frank Minucci] *
361 [Law & Order] *
1 [A Brother's Kiss] *
441 [The Artist] *
25 [Penelope Ann Miller] *
361 [Kindergarten Cop] *
361 [The Freshman] *
324 [The Shadow]
)
= 3.38 x 10^36
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cheryl Lynn] *
1 [Undercover Brother] *
1 [The Holiday] *
1 [Agents of S.H.I.E.L.D.] *
1 [Adrian Pasdar] *
1 [Near Dark] *
1 [Queer Fish in God's Waiting Room] *
1 [Serpico] *
1 [Repo Man] *
1 [Richard Foronjy] *
1 [Midnight Run] *
1 [Ghost Dog: The Way of the Samurai] *
1 [Frank Minucci] *
1 [Law & Order] *
1 [A Brother's Kiss] *
1 [The Artist] *
1 [Penelope Ann Miller] *
1 [Kindergarten Cop] *
1 [The Freshman] *
1 [The Shadow]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
20
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.63%
(3.38 × 1036 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)