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 *
( 16 [Justin Theroux] *
49 [Dan Hedaya] *
16 [Naomi Watts] *
16 [Robert Katims] *
400 [Mulholland Drive] *
16 [Rena Riffel] *
25 [James Karen] *
16 [Patrick Fischler] *
9 [Ann Miller] *
9 [Bonnie Aarons] *
4 [Brent Briscoe] *
1 [Dan Birnbaum] *
1 [Enrique Buelna] *
25 [Jeanne Bates] *
1 [Joseph Kearney] *
9 [Laura Harring] *
1 [Michael Cooke] *
1 [Randall Wulff] *
4 [Michael J. Anderson] *
1 [Sean Everett]
)
= 1.50 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Justin Theroux] *
1 [Dan Hedaya] *
1 [Naomi Watts] *
1 [Robert Katims] *
1 [Mulholland Drive] *
1 [Rena Riffel] *
1 [James Karen] *
1 [Patrick Fischler] *
1 [Ann Miller] *
1 [Bonnie Aarons] *
1 [Brent Briscoe] *
1 [Dan Birnbaum] *
1 [Enrique Buelna] *
1 [Jeanne Bates] *
1 [Joseph Kearney] *
1 [Laura Harring] *
1 [Michael Cooke] *
1 [Randall Wulff] *
1 [Michael J. Anderson] *
1 [Sean Everett]
)
= 1
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)
0.16%
(1.50 × 1017 overall)
Dominant nodes (excluded from chart)Mulholland Drive 64.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)