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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.13% of network
(5.71 × 1022)
Strength Breakdown
  • This Post (0.13%)
  • Edward Scissorhands (34.30%)
  • Johnny Depp (15.26%)
  • Dianne Wiest (8.07%)
  • Caroline Aaron (6.18%)
  • Kathy Baker (6.18%)
  • Winona Ryder (5.30%)
  • Anthony Michael Hall (4.54%)
  • Conchata Ferrell (4.54%)
  • Susan Blommaert (4.54%)
  • Vincent Price (3.15%)
  • Bryan Larkin (3.15%)
  • Dick Anthony Williams (2.02%)
  • Biff Yeager (1.13%)
  • Linda Perri (0.50%)
  • O-Lan Jones (0.50%)
  • Robert Oliveri (0.50%)
Influence Score
i
5.80% of network
(1.24)
Influence Breakdown
  • This Post (5.80%)
  • Winona Ryder (6.77%)
  • Edward Scissorhands (6.17%)
  • Vincent Price (5.80%)
  • Anthony Michael Hall (5.80%)
  • Biff Yeager (5.80%)
  • Bryan Larkin (5.80%)
  • Caroline Aaron (5.80%)
  • Conchata Ferrell (5.80%)
  • Dianne Wiest (5.80%)
  • Dick Anthony Williams (5.80%)
  • Kathy Baker (5.80%)
  • Linda Perri (5.80%)
  • O-Lan Jones (5.80%)
  • Robert Oliveri (5.80%)
  • Susan Blommaert (5.80%)
  • Johnny Depp (5.80%)
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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 42 [Winona Ryder] *
                            272 [Edward Scissorhands] *
                            25 [Vincent Price] *
                            36 [Anthony Michael Hall] *
                            9 [Biff Yeager] *
                            25 [Bryan Larkin] *
                            49 [Caroline Aaron] *
                            36 [Conchata Ferrell] *
                            64 [Dianne Wiest] *
                            16 [Dick Anthony Williams] *
                            49 [Kathy Baker] *
                            4 [Linda Perri] *
                            4 [O-Lan Jones] *
                            4 [Robert Oliveri] *
                            36 [Susan Blommaert] *
                            121 [Johnny Depp]
                           )

                         = 5.71 x 10^22

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Winona Ryder] *
                            1.06 [Edward Scissorhands] *
                            1 [Vincent Price] *
                            1 [Anthony Michael Hall] *
                            1 [Biff Yeager] *
                            1 [Bryan Larkin] *
                            1 [Caroline Aaron] *
                            1 [Conchata Ferrell] *
                            1 [Dianne Wiest] *
                            1 [Dick Anthony Williams] *
                            1 [Kathy Baker] *
                            1 [Linda Perri] *
                            1 [O-Lan Jones] *
                            1 [Robert Oliveri] *
                            1 [Susan Blommaert] *
                            1 [Johnny Depp]
                           )

                         = 1.24
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 16 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.13% (5.71 × 1022 overall)
  • This Post (0.13%)
  • Edward Scissorhands (34.30%)
  • Johnny Depp (15.26%)
  • Dianne Wiest (8.07%)
  • Caroline Aaron (6.18%)
  • Kathy Baker (6.18%)
  • Winona Ryder (5.30%)
  • Anthony Michael Hall (4.54%)
  • Conchata Ferrell (4.54%)
  • Susan Blommaert (4.54%)
  • Vincent Price (3.15%)
  • Bryan Larkin (3.15%)
  • Dick Anthony Williams (2.02%)
  • Biff Yeager (1.13%)
  • Linda Perri (0.50%)
  • O-Lan Jones (0.50%)
  • Robert Oliveri (0.50%)
Influence Share (vs Direct Neighbours)
5.80% (1.24 overall)
  • This Post (5.80%)
  • Winona Ryder (6.77%)
  • Edward Scissorhands (6.17%)
  • Vincent Price (5.80%)
  • Anthony Michael Hall (5.80%)
  • Biff Yeager (5.80%)
  • Bryan Larkin (5.80%)
  • Caroline Aaron (5.80%)
  • Conchata Ferrell (5.80%)
  • Dianne Wiest (5.80%)
  • Dick Anthony Williams (5.80%)
  • Kathy Baker (5.80%)
  • Linda Perri (5.80%)
  • O-Lan Jones (5.80%)
  • Robert Oliveri (5.80%)
  • Susan Blommaert (5.80%)
  • Johnny Depp (5.80%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Winona Ryder ↗
Str: 42Inf: 1.17
Edward Scissorhands ↗
Str: 272Inf: 1.06
Vincent Price ↗
Str: 25Inf: 1
Anthony Michael Hall ↗
Str: 36Inf: 1
Biff Yeager ↗
Str: 9Inf: 1
Bryan Larkin ↗
Str: 25Inf: 1
Caroline Aaron ↗
Str: 49Inf: 1
Conchata Ferrell ↗
Str: 36Inf: 1
Dianne Wiest ↗
Str: 64Inf: 1
Dick Anthony Williams ↗
Str: 16Inf: 1
Kathy Baker ↗
Str: 49Inf: 1
Linda Perri ↗
Str: 4Inf: 1
O-Lan Jones ↗
Str: 4Inf: 1
Robert Oliveri ↗
Str: 4Inf: 1
Susan Blommaert ↗
Str: 36Inf: 1
Johnny Depp ↗
Str: 121Inf: 1
Weakest Connections (Lowest Multipliers)
Johnny Depp ↗
Str: 121Inf: 1
Susan Blommaert ↗
Str: 36Inf: 1
Robert Oliveri ↗
Str: 4Inf: 1
O-Lan Jones ↗
Str: 4Inf: 1
Linda Perri ↗
Str: 4Inf: 1
Kathy Baker ↗
Str: 49Inf: 1
Dick Anthony Williams ↗
Str: 16Inf: 1
Dianne Wiest ↗
Str: 64Inf: 1
Conchata Ferrell ↗
Str: 36Inf: 1
Caroline Aaron ↗
Str: 49Inf: 1
Bryan Larkin ↗
Str: 25Inf: 1
Biff Yeager ↗
Str: 9Inf: 1
Anthony Michael Hall ↗
Str: 36Inf: 1
Vincent Price ↗
Str: 25Inf: 1
Edward Scissorhands ↗
Str: 272Inf: 1.06
Winona Ryder ↗
Str: 42Inf: 1.17

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

Outbound Tags (1)
Edward Scissorhands
Inbound Posts (1)
Edward Scissorhands
Last calculated: Jun 8, 4:59 PM
31

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