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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 55 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 12 [Myra Lucretia Taylor] *
16 [Danny Boyle] *
121 [James Franco] *
16 [Kate Mara] *
324 [127 Hours] *
25 [Amber Tamblyn] *
36 [Clémence Poésy] *
1 [Fenton Quinn] *
1 [Jeffrey Wood] *
1 [John Lawrence] *
1 [Koleman Stinger] *
36 [Lizzy Caplan] *
1 [Norman Lehnert] *
1 [Parker Hadley] *
1 [Peter Joshua Hull] *
9 [Pieter Jan Brugge] *
1 [Rebecca C. Olson] *
16 [Sean Bott] *
25 [Treat Williams] *
324 [Unfaithful] *
361 [Big Trouble in Little China] *
25 [Richard Gere] *
16 [Erik Per Sullivan] *
36 [Michelle Monaghan] *
4 [Margaret Colin] *
16 [Diane Lane] *
4 [Dominic Chianese] *
4 [Damon Gupton] *
16 [Chad Lowe] *
1 [Erich Anderson] *
1 [Hal Smith-Reynolds] *
1 [Larry Gleason] *
16 [Marc Forget] *
1 [George F. Miller] *
1 [Joseph Badalucco Jr.] *
1 [Olivier Martinez] *
1 [Paul D. Failla] *
121 [Kurt Russell] *
4 [Jeff Imada] *
16 [Al Leong] *
9 [Kim Cattrall] *
36 [James Hong] *
1 [Carter Wong] *
1 [Chao Li Chi] *
1 [Craig Ng] *
1 [Dennis Dun] *
1 [Donald Li] *
1 [Jade Go] *
1 [James Pax] *
1 [June Kyoto Lu] *
1 [Noel Toy] *
1 [Peter Kwong] *
1 [Rummel Mor] *
1 [Suzee Pai] *
1 [Victor Wong]
)
= 1.40 x 10^38
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Myra Lucretia Taylor] *
1 [Danny Boyle] *
1 [James Franco] *
1 [Kate Mara] *
1 [127 Hours] *
1 [Amber Tamblyn] *
1 [Clémence Poésy] *
1 [Fenton Quinn] *
1 [Jeffrey Wood] *
1 [John Lawrence] *
1 [Koleman Stinger] *
1 [Lizzy Caplan] *
1 [Norman Lehnert] *
1 [Parker Hadley] *
1 [Peter Joshua Hull] *
1 [Pieter Jan Brugge] *
1 [Rebecca C. Olson] *
1 [Sean Bott] *
1 [Treat Williams] *
1 [Unfaithful] *
1 [Big Trouble in Little China] *
1 [Richard Gere] *
1 [Erik Per Sullivan] *
1 [Michelle Monaghan] *
1 [Margaret Colin] *
1 [Diane Lane] *
1 [Dominic Chianese] *
1 [Damon Gupton] *
1 [Chad Lowe] *
1 [Erich Anderson] *
1 [Hal Smith-Reynolds] *
1 [Larry Gleason] *
1 [Marc Forget] *
1 [George F. Miller] *
1 [Joseph Badalucco Jr.] *
1 [Olivier Martinez] *
1 [Paul D. Failla] *
1 [Kurt Russell] *
1 [Jeff Imada] *
1 [Al Leong] *
1 [Kim Cattrall] *
1 [James Hong] *
1 [Carter Wong] *
1 [Chao Li Chi] *
1 [Craig Ng] *
1 [Dennis Dun] *
1 [Donald Li] *
1 [Jade Go] *
1 [James Pax] *
1 [June Kyoto Lu] *
1 [Noel Toy] *
1 [Peter Kwong] *
1 [Rummel Mor] *
1 [Suzee Pai] *
1 [Victor Wong]
)
= 1.33
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
55
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.54%
(1.40 × 1038 overall)
Dominant nodes (excluded from chart)Big Trouble in Little China 21.48%127 Hours 19.27%Unfaithful 19.27%James Franco 7.20%Kurt Russell 7.20%Clémence Poésy 2.14%Lizzy Caplan 2.14%Michelle Monaghan 2.14%James Hong 2.14%Amber Tamblyn 1.49%Treat Williams 1.49%Richard Gere 1.49%Danny Boyle 0.95%Kate Mara 0.95%Sean Bott 0.95%Erik Per Sullivan 0.95%Diane Lane 0.95%Chad Lowe 0.95%Marc Forget 0.95%Al Leong 0.95%Myra Lucretia Taylor 0.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)