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Tom SaviniJustine Nicole SchaeferChelsea ZhangPaul RuddJohnny SimmonsJulia GarnerMae WhitmanPatrick de LedeburEmma WatsonThe Perks of Being a Wallflower

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.11% of network
(1.69 × 1021)
Strength Breakdown
  • This Post (0.11%)
  • Joan Cusack (7.95%)
  • Mae Whitman (3.97%)
  • Dylan McDermott (3.97%)
  • Tom Savini (2.76%)
  • Emma Watson (2.76%)
  • Brian Balzerini (1.77%)
  • Chelsea Zhang (1.77%)
  • Ezra Miller (1.77%)
  • Julia Garner (1.77%)
  • Logan Lerman (1.77%)
  • Johnny Simmons (0.99%)
  • Patrick de Ledebur (0.99%)
  • Nicholas Braun (0.44%)
  • Emily Marie Callaway (0.11%)
  • Jesse Scheirer (0.11%)
  • Justine Nicole Schaefer (0.11%)
  • Tom Kruszewski (0.11%)
Dominant nodes (excluded from chart)
The Perks of Being a Wallflower 41.94%Paul Rudd 24.83%
Influence Score
i
5.01% of network
(0.9357)
Influence Breakdown
  • This Post (5.01%)
  • The Perks of Being a Wallflower (5.28%)
  • Paul Rudd (5.01%)
  • Tom Savini (5.01%)
  • Mae Whitman (5.01%)
  • Brian Balzerini (5.01%)
  • Chelsea Zhang (5.01%)
  • Dylan McDermott (5.01%)
  • Emily Marie Callaway (5.01%)
  • Emma Watson (5.01%)
  • Ezra Miller (5.01%)
  • Jesse Scheirer (5.01%)
  • Johnny Simmons (5.01%)
  • Julia Garner (5.01%)
  • Justine Nicole Schaefer (5.01%)
  • Logan Lerman (5.01%)
  • Nicholas Braun (5.01%)
  • Patrick de Ledebur (5.01%)
  • Tom Kruszewski (5.01%)
  • Joan Cusack (4.46%)
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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 380 [The Perks of Being a Wallflower] *
                            225 [Paul Rudd] *
                            25 [Tom Savini] *
                            36 [Mae Whitman] *
                            16 [Brian Balzerini] *
                            16 [Chelsea Zhang] *
                            36 [Dylan McDermott] *
                            1 [Emily Marie Callaway] *
                            25 [Emma Watson] *
                            16 [Ezra Miller] *
                            1 [Jesse Scheirer] *
                            9 [Johnny Simmons] *
                            16 [Julia Garner] *
                            1 [Justine Nicole Schaefer] *
                            16 [Logan Lerman] *
                            4 [Nicholas Braun] *
                            9 [Patrick de Ledebur] *
                            1 [Tom Kruszewski] *
                            72 [Joan Cusack]
                           )
                         = 1.69 x 10^21

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.05 [The Perks of Being a Wallflower] *
                            1 [Paul Rudd] *
                            1 [Tom Savini] *
                            1 [Mae Whitman] *
                            1 [Brian Balzerini] *
                            1 [Chelsea Zhang] *
                            1 [Dylan McDermott] *
                            1 [Emily Marie Callaway] *
                            1 [Emma Watson] *
                            1 [Ezra Miller] *
                            1 [Jesse Scheirer] *
                            1 [Johnny Simmons] *
                            1 [Julia Garner] *
                            1 [Justine Nicole Schaefer] *
                            1 [Logan Lerman] *
                            1 [Nicholas Braun] *
                            1 [Patrick de Ledebur] *
                            1 [Tom Kruszewski] *
                            0.8889 [Joan Cusack]
                           )
                         = 0.9357
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 19 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.11% (1.69 × 1021 overall)
  • This Post (0.11%)
  • Joan Cusack (7.95%)
  • Mae Whitman (3.97%)
  • Dylan McDermott (3.97%)
  • Tom Savini (2.76%)
  • Emma Watson (2.76%)
  • Brian Balzerini (1.77%)
  • Chelsea Zhang (1.77%)
  • Ezra Miller (1.77%)
  • Julia Garner (1.77%)
  • Logan Lerman (1.77%)
  • Johnny Simmons (0.99%)
  • Patrick de Ledebur (0.99%)
  • Nicholas Braun (0.44%)
  • Emily Marie Callaway (0.11%)
  • Jesse Scheirer (0.11%)
  • Justine Nicole Schaefer (0.11%)
  • Tom Kruszewski (0.11%)
Dominant nodes (excluded from chart)
The Perks of Being a Wallflower 41.94%Paul Rudd 24.83%
Influence Share (vs Direct Neighbours)
5.01% (0.9357 overall)
  • This Post (5.01%)
  • The Perks of Being a Wallflower (5.28%)
  • Paul Rudd (5.01%)
  • Tom Savini (5.01%)
  • Mae Whitman (5.01%)
  • Brian Balzerini (5.01%)
  • Chelsea Zhang (5.01%)
  • Dylan McDermott (5.01%)
  • Emily Marie Callaway (5.01%)
  • Emma Watson (5.01%)
  • Ezra Miller (5.01%)
  • Jesse Scheirer (5.01%)
  • Johnny Simmons (5.01%)
  • Julia Garner (5.01%)
  • Justine Nicole Schaefer (5.01%)
  • Logan Lerman (5.01%)
  • Nicholas Braun (5.01%)
  • Patrick de Ledebur (5.01%)
  • Tom Kruszewski (5.01%)
  • Joan Cusack (4.46%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Perks of Being a Wallflower ↗
Str: 380Inf: 1.05
Paul Rudd ↗
Str: 225Inf: 1
Tom Savini ↗
Str: 25Inf: 1
Mae Whitman ↗
Str: 36Inf: 1
Brian Balzerini ↗
Str: 16Inf: 1
Chelsea Zhang ↗
Str: 16Inf: 1
Dylan McDermott ↗
Str: 36Inf: 1
Emily Marie Callaway ↗
Str: 1Inf: 1
Emma Watson ↗
Str: 25Inf: 1
Ezra Miller ↗
Str: 16Inf: 1
Jesse Scheirer ↗
Str: 1Inf: 1
Johnny Simmons ↗
Str: 9Inf: 1
Julia Garner ↗
Str: 16Inf: 1
Justine Nicole Schaefer ↗
Str: 1Inf: 1
Logan Lerman ↗
Str: 16Inf: 1
Nicholas Braun ↗
Str: 4Inf: 1
Patrick de Ledebur ↗
Str: 9Inf: 1
Tom Kruszewski ↗
Str: 1Inf: 1
Joan Cusack ↗
Str: 72Inf: 0.8889
Weakest Connections (Lowest Multipliers)
Joan Cusack ↗
Str: 72Inf: 0.8889
Tom Kruszewski ↗
Str: 1Inf: 1
Patrick de Ledebur ↗
Str: 9Inf: 1
Nicholas Braun ↗
Str: 4Inf: 1
Logan Lerman ↗
Str: 16Inf: 1
Justine Nicole Schaefer ↗
Str: 1Inf: 1
Julia Garner ↗
Str: 16Inf: 1
Johnny Simmons ↗
Str: 9Inf: 1
Jesse Scheirer ↗
Str: 1Inf: 1
Ezra Miller ↗
Str: 16Inf: 1
Emma Watson ↗
Str: 25Inf: 1
Emily Marie Callaway ↗
Str: 1Inf: 1
Dylan McDermott ↗
Str: 36Inf: 1
Chelsea Zhang ↗
Str: 16Inf: 1
Brian Balzerini ↗
Str: 16Inf: 1
Mae Whitman ↗
Str: 36Inf: 1
Tom Savini ↗
Str: 25Inf: 1
Paul Rudd ↗
Str: 225Inf: 1
The Perks of Being a Wallflower ↗
Str: 380Inf: 1.05

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

Outbound Tags (1)
The Perks of Being a Wallflower
Inbound Posts (1)
The Perks of Being a Wallflower
Last calculated: Jun 8, 11:04 PM
23

Related Content

Actors

  • Mae Whitman
  • Johnny Simmons
  • Brian Balzerini
  • Julia Garner
  • Chelsea Zhang
  • Justine Nicole Schaefer
  • Dylan McDermott
  • Logan Lerman
  • Paul Rudd
  • Emily Marie Callaway
  • Nicholas Braun
  • Emma Watson
  • Patrick de Ledebur
  • Tom Savini
  • Ezra Miller
  • Tom Kruszewski
  • Joan Cusack
  • Jesse Scheirer

Films

  • The Perks of Being a Wallflower