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Christopher LeeGeorge GaynesDavid St. JamesPolice Academy: Mission to MoscowDavid GrafStuart NisbetG.W. BaileyClaire ForlaniRon PerlmanLeslie Easterbrook

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.19% of network
(1.87 × 1015)
Strength Breakdown
  • This Post (0.19%)
  • George Gaynes (6.72%)
  • Christopher Lee (4.66%)
  • Ron Perlman (4.66%)
  • Claire Forlani (4.66%)
  • Gregg Berger (4.66%)
  • Stuart Nisbet (4.66%)
  • David St. James (2.99%)
  • Michael Winslow (2.99%)
  • David Graf (0.75%)
  • Leslie Easterbrook (0.75%)
  • G.W. Bailey (0.75%)
  • Charlie Schlatter (0.19%)
  • Pamela Guest (0.19%)
  • Robert Iannaccone (0.19%)
  • Vadim Dolgachov (0.19%)
  • Valeriy Yaremenko (0.19%)
  • Vladimir Dolinskiy (0.19%)
Dominant nodes (excluded from chart)
Police Academy: Mission to Moscow 60.45%
Influence Score
i
5.26% of network
(1)
Influence Breakdown
  • This Post (5.26%)
  • Christopher Lee (5.26%)
  • David St. James (5.26%)
  • Ron Perlman (5.26%)
  • George Gaynes (5.26%)
  • Michael Winslow (5.26%)
  • Police Academy: Mission to Moscow (5.26%)
  • Charlie Schlatter (5.26%)
  • Claire Forlani (5.26%)
  • David Graf (5.26%)
  • Gregg Berger (5.26%)
  • Leslie Easterbrook (5.26%)
  • Pamela Guest (5.26%)
  • Robert Iannaccone (5.26%)
  • Stuart Nisbet (5.26%)
  • G.W. Bailey (5.26%)
  • Vadim Dolgachov (5.26%)
  • Valeriy Yaremenko (5.26%)
  • Vladimir Dolinskiy (5.26%)
Direct Connections 2

Node & Network Details

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 *
                           ( 25 [Christopher Lee] *
                            16 [David St. James] *
                            25 [Ron Perlman] *
                            36 [George Gaynes] *
                            16 [Michael Winslow] *
                            324 [Police Academy: Mission to Moscow] *
                            1 [Charlie Schlatter] *
                            25 [Claire Forlani] *
                            4 [David Graf] *
                            25 [Gregg Berger] *
                            4 [Leslie Easterbrook] *
                            1 [Pamela Guest] *
                            1 [Robert Iannaccone] *
                            25 [Stuart Nisbet] *
                            4 [G.W. Bailey] *
                            1 [Vadim Dolgachov] *
                            1 [Valeriy Yaremenko] *
                            1 [Vladimir Dolinskiy]
                           )
                         = 1.87 x 10^15

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Christopher Lee] *
                            1 [David St. James] *
                            1 [Ron Perlman] *
                            1 [George Gaynes] *
                            1 [Michael Winslow] *
                            1 [Police Academy: Mission to Moscow] *
                            1 [Charlie Schlatter] *
                            1 [Claire Forlani] *
                            1 [David Graf] *
                            1 [Gregg Berger] *
                            1 [Leslie Easterbrook] *
                            1 [Pamela Guest] *
                            1 [Robert Iannaccone] *
                            1 [Stuart Nisbet] *
                            1 [G.W. Bailey] *
                            1 [Vadim Dolgachov] *
                            1 [Valeriy Yaremenko] *
                            1 [Vladimir Dolinskiy]
                           )
                         = 1
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% (1.87 × 1015 overall)
  • This Post (0.19%)
  • George Gaynes (6.72%)
  • Christopher Lee (4.66%)
  • Ron Perlman (4.66%)
  • Claire Forlani (4.66%)
  • Gregg Berger (4.66%)
  • Stuart Nisbet (4.66%)
  • David St. James (2.99%)
  • Michael Winslow (2.99%)
  • David Graf (0.75%)
  • Leslie Easterbrook (0.75%)
  • G.W. Bailey (0.75%)
  • Charlie Schlatter (0.19%)
  • Pamela Guest (0.19%)
  • Robert Iannaccone (0.19%)
  • Vadim Dolgachov (0.19%)
  • Valeriy Yaremenko (0.19%)
  • Vladimir Dolinskiy (0.19%)
Dominant nodes (excluded from chart)
Police Academy: Mission to Moscow 60.45%
Influence Share (vs Direct Neighbours)
5.26% (1 overall)
  • This Post (5.26%)
  • Christopher Lee (5.26%)
  • David St. James (5.26%)
  • Ron Perlman (5.26%)
  • George Gaynes (5.26%)
  • Michael Winslow (5.26%)
  • Police Academy: Mission to Moscow (5.26%)
  • Charlie Schlatter (5.26%)
  • Claire Forlani (5.26%)
  • David Graf (5.26%)
  • Gregg Berger (5.26%)
  • Leslie Easterbrook (5.26%)
  • Pamela Guest (5.26%)
  • Robert Iannaccone (5.26%)
  • Stuart Nisbet (5.26%)
  • G.W. Bailey (5.26%)
  • Vadim Dolgachov (5.26%)
  • Valeriy Yaremenko (5.26%)
  • Vladimir Dolinskiy (5.26%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Christopher Lee ↗
Str: 25Inf: 1
David St. James ↗
Str: 16Inf: 1
Ron Perlman ↗
Str: 25Inf: 1
George Gaynes ↗
Str: 36Inf: 1
Michael Winslow ↗
Str: 16Inf: 1
Police Academy: Mission to Moscow ↗
Str: 324Inf: 1
Charlie Schlatter ↗
Str: 1Inf: 1
Claire Forlani ↗
Str: 25Inf: 1
David Graf ↗
Str: 4Inf: 1
Gregg Berger ↗
Str: 25Inf: 1
Leslie Easterbrook ↗
Str: 4Inf: 1
Pamela Guest ↗
Str: 1Inf: 1
Robert Iannaccone ↗
Str: 1Inf: 1
Stuart Nisbet ↗
Str: 25Inf: 1
G.W. Bailey ↗
Str: 4Inf: 1
Vadim Dolgachov ↗
Str: 1Inf: 1
Valeriy Yaremenko ↗
Str: 1Inf: 1
Vladimir Dolinskiy ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vladimir Dolinskiy ↗
Str: 1Inf: 1
Valeriy Yaremenko ↗
Str: 1Inf: 1
Vadim Dolgachov ↗
Str: 1Inf: 1
G.W. Bailey ↗
Str: 4Inf: 1
Stuart Nisbet ↗
Str: 25Inf: 1
Robert Iannaccone ↗
Str: 1Inf: 1
Pamela Guest ↗
Str: 1Inf: 1
Leslie Easterbrook ↗
Str: 4Inf: 1
Gregg Berger ↗
Str: 25Inf: 1
David Graf ↗
Str: 4Inf: 1
Claire Forlani ↗
Str: 25Inf: 1
Charlie Schlatter ↗
Str: 1Inf: 1
Police Academy: Mission to Moscow ↗
Str: 324Inf: 1
Michael Winslow ↗
Str: 16Inf: 1
George Gaynes ↗
Str: 36Inf: 1
Ron Perlman ↗
Str: 25Inf: 1
David St. James ↗
Str: 16Inf: 1
Christopher Lee ↗
Str: 25Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Police Academy: Mission to Moscow
Inbound Posts (1)
Police Academy: Mission to Moscow
Last calculated: Jun 9, 1:43 AM
19

Related Content

Actors

  • Michael Winslow
  • Robert Iannaccone
  • Stuart Nisbet
  • Charlie Schlatter
  • G.W. Bailey
  • Claire Forlani
  • Vadim Dolgachov
  • Christopher Lee
  • David Graf
  • Valeriy Yaremenko
  • David St. James
  • Gregg Berger
  • Vladimir Dolinskiy
  • Ron Perlman
  • Leslie Easterbrook
  • George Gaynes
  • Pamela Guest

Films

  • Police Academy: Mission to Moscow