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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.73% of network
(23.41T)
Strength Breakdown
  • This Post (0.73%)
  • Kevin Connolly (1.65%)
  • Ed Grady (0.73%)
  • Andrew Schaff (0.18%)
  • Anthony-Michael Q. Thomas (0.18%)
  • Geoffrey Knight (0.18%)
  • Jennifer Echols (0.18%)
  • Jonathan Parks Jordan (0.18%)
  • Matt Shelly (0.18%)
  • Michael D. Fuller (0.18%)
  • Renée Amber (0.18%)
  • Tim Ivey (0.18%)
  • Dear John (0.18%)
Dominant nodes (excluded from chart)
The Notebook 59.34%Rachel McAdams 11.72%Ryan Gosling 8.97%Heather Wahlquist 4.58%James Garner 4.58%Gena Rowlands 2.93%Starletta DuPois 2.93%
Influence Score
i
5.00% of network
(1)
Influence Breakdown
  • This Post (5.00%)
  • Ryan Gosling (5.00%)
  • The Notebook (5.00%)
  • Andrew Schaff (5.00%)
  • Anthony-Michael Q. Thomas (5.00%)
  • Ed Grady (5.00%)
  • Gena Rowlands (5.00%)
  • Geoffrey Knight (5.00%)
  • Heather Wahlquist (5.00%)
  • James Garner (5.00%)
  • Jennifer Echols (5.00%)
  • Jonathan Parks Jordan (5.00%)
  • Kevin Connolly (5.00%)
  • Matt Shelly (5.00%)
  • Michael D. Fuller (5.00%)
  • Rachel McAdams (5.00%)
  • Renée Amber (5.00%)
  • Starletta DuPois (5.00%)
  • Tim Ivey (5.00%)
  • Dear John (5.00%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 49 [Ryan Gosling] *
                            324 [The Notebook] *
                            1 [Andrew Schaff] *
                            1 [Anthony-Michael Q. Thomas] *
                            4 [Ed Grady] *
                            16 [Gena Rowlands] *
                            1 [Geoffrey Knight] *
                            25 [Heather Wahlquist] *
                            25 [James Garner] *
                            1 [Jennifer Echols] *
                            1 [Jonathan Parks Jordan] *
                            9 [Kevin Connolly] *
                            1 [Matt Shelly] *
                            1 [Michael D. Fuller] *
                            64 [Rachel McAdams] *
                            1 [Renée Amber] *
                            16 [Starletta DuPois] *
                            1 [Tim Ivey] *
                            1 [Dear John]
                           )

                         = 23.41T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Ryan Gosling] *
                            1 [The Notebook] *
                            1 [Andrew Schaff] *
                            1 [Anthony-Michael Q. Thomas] *
                            1 [Ed Grady] *
                            1 [Gena Rowlands] *
                            1 [Geoffrey Knight] *
                            1 [Heather Wahlquist] *
                            1 [James Garner] *
                            1 [Jennifer Echols] *
                            1 [Jonathan Parks Jordan] *
                            1 [Kevin Connolly] *
                            1 [Matt Shelly] *
                            1 [Michael D. Fuller] *
                            1 [Rachel McAdams] *
                            1 [Renée Amber] *
                            1 [Starletta DuPois] *
                            1 [Tim Ivey] *
                            1 [Dear John]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 19 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.73% (23.41T overall)
  • This Post (0.73%)
  • Kevin Connolly (1.65%)
  • Ed Grady (0.73%)
  • Andrew Schaff (0.18%)
  • Anthony-Michael Q. Thomas (0.18%)
  • Geoffrey Knight (0.18%)
  • Jennifer Echols (0.18%)
  • Jonathan Parks Jordan (0.18%)
  • Matt Shelly (0.18%)
  • Michael D. Fuller (0.18%)
  • Renée Amber (0.18%)
  • Tim Ivey (0.18%)
  • Dear John (0.18%)
Dominant nodes (excluded from chart)
The Notebook 59.34%Rachel McAdams 11.72%Ryan Gosling 8.97%Heather Wahlquist 4.58%James Garner 4.58%Gena Rowlands 2.93%Starletta DuPois 2.93%
Influence Share (vs Direct Neighbours)
5.00% (1 overall)
  • This Post (5.00%)
  • Ryan Gosling (5.00%)
  • The Notebook (5.00%)
  • Andrew Schaff (5.00%)
  • Anthony-Michael Q. Thomas (5.00%)
  • Ed Grady (5.00%)
  • Gena Rowlands (5.00%)
  • Geoffrey Knight (5.00%)
  • Heather Wahlquist (5.00%)
  • James Garner (5.00%)
  • Jennifer Echols (5.00%)
  • Jonathan Parks Jordan (5.00%)
  • Kevin Connolly (5.00%)
  • Matt Shelly (5.00%)
  • Michael D. Fuller (5.00%)
  • Rachel McAdams (5.00%)
  • Renée Amber (5.00%)
  • Starletta DuPois (5.00%)
  • Tim Ivey (5.00%)
  • Dear John (5.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Ryan Gosling ↗
Str: 49Inf: 1
The Notebook ↗
Str: 324Inf: 1
Andrew Schaff ↗
Str: 1Inf: 1
Anthony-Michael Q. Thomas ↗
Str: 1Inf: 1
Ed Grady ↗
Str: 4Inf: 1
Gena Rowlands ↗
Str: 16Inf: 1
Geoffrey Knight ↗
Str: 1Inf: 1
Heather Wahlquist ↗
Str: 25Inf: 1
James Garner ↗
Str: 25Inf: 1
Jennifer Echols ↗
Str: 1Inf: 1
Jonathan Parks Jordan ↗
Str: 1Inf: 1
Kevin Connolly ↗
Str: 9Inf: 1
Matt Shelly ↗
Str: 1Inf: 1
Michael D. Fuller ↗
Str: 1Inf: 1
Rachel McAdams ↗
Str: 64Inf: 1
Renée Amber ↗
Str: 1Inf: 1
Starletta DuPois ↗
Str: 16Inf: 1
Tim Ivey ↗
Str: 1Inf: 1
Dear John ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Dear John ↗
Str: 1Inf: 1
Tim Ivey ↗
Str: 1Inf: 1
Starletta DuPois ↗
Str: 16Inf: 1
Renée Amber ↗
Str: 1Inf: 1
Rachel McAdams ↗
Str: 64Inf: 1
Michael D. Fuller ↗
Str: 1Inf: 1
Matt Shelly ↗
Str: 1Inf: 1
Kevin Connolly ↗
Str: 9Inf: 1
Jonathan Parks Jordan ↗
Str: 1Inf: 1
Jennifer Echols ↗
Str: 1Inf: 1
James Garner ↗
Str: 25Inf: 1
Heather Wahlquist ↗
Str: 25Inf: 1
Geoffrey Knight ↗
Str: 1Inf: 1
Gena Rowlands ↗
Str: 16Inf: 1
Ed Grady ↗
Str: 4Inf: 1
Anthony-Michael Q. Thomas ↗
Str: 1Inf: 1
Andrew Schaff ↗
Str: 1Inf: 1
The Notebook ↗
Str: 324Inf: 1
Ryan Gosling ↗
Str: 49Inf: 1

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

Outbound Tags (2)
Dear John
The Notebook
Inbound Posts (2)
The Notebook
Dear John
Last calculated: Nov 4, 10:44 PM
50

Related Content

Actors

  • Andrew Schaff
  • Jonathan Parks Jordan
  • Anthony-Michael Q. Thomas
  • Kevin Connolly
  • Ed Grady
  • Matt Shelly
  • Gena Rowlands
  • Michael D. Fuller
  • Geoffrey Knight
  • Rachel McAdams
  • Heather Wahlquist
  • Renée Amber
  • Ryan Gosling
  • James Garner
  • Starletta DuPois
  • Jennifer Echols
  • Tim Ivey

Films

  • Dear John
  • The Notebook

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