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Shakespeare in LoveThe Drew Carey ShowMartin ClunesBrenda BlethynDoc Martin
Craig Ferguson
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Atonement
How to Train Your Dragon 2

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.61% of network
(5.40 × 1019)
Strength Breakdown
  • This Post (0.61%)
  • Craig Ferguson (1.70%)
  • Brenda Blethyn (1.70%)
  • Martin Clunes (1.09%)
  • Winnie the Pooh (0.61%)
  • Pride & Prejudice (0.61%)
  • Secrets & Lies (0.61%)
  • British Men Behaving Badly (0.27%)
  • I'll Be There (0.27%)
  • Little Voice (0.27%)
  • How to Train Your Dragon 2 (0.07%)
Dominant nodes (excluded from chart)
Atonement 27.23%Shakespeare in Love 22.06%Doc Martin 22.06%The Drew Carey Show 20.83%
Influence Score
i
6.64% of network
(1.06)
Influence Breakdown
  • This Post (6.64%)
  • The Drew Carey Show (7.03%)
  • Martin Clunes (6.64%)
  • Craig Ferguson (6.64%)
  • Brenda Blethyn (6.64%)
  • Shakespeare in Love (6.64%)
  • British Men Behaving Badly (6.64%)
  • Doc Martin (6.64%)
  • Winnie the Pooh (6.64%)
  • How to Train Your Dragon 2 (6.64%)
  • I'll Be There (6.64%)
  • Atonement (6.64%)
  • Little Voice (6.64%)
  • Pride & Prejudice (6.64%)
  • Secrets & Lies (6.64%)
Direct Connections 6

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, 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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 306 [The Drew Carey Show] *
                            16 [Martin Clunes] *
                            25 [Craig Ferguson] *
                            25 [Brenda Blethyn] *
                            324 [Shakespeare in Love] *
                            4 [British Men Behaving Badly] *
                            324 [Doc Martin] *
                            9 [Winnie the Pooh] *
                            1 [How to Train Your Dragon 2] *
                            4 [I'll Be There] *
                            400 [Atonement] *
                            4 [Little Voice] *
                            9 [Pride & Prejudice] *
                            9 [Secrets & Lies]
                           )

                         = 5.40 x 10^19

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.06 [The Drew Carey Show] *
                            1 [Martin Clunes] *
                            1 [Craig Ferguson] *
                            1 [Brenda Blethyn] *
                            1 [Shakespeare in Love] *
                            1 [British Men Behaving Badly] *
                            1 [Doc Martin] *
                            1 [Winnie the Pooh] *
                            1 [How to Train Your Dragon 2] *
                            1 [I'll Be There] *
                            1 [Atonement] *
                            1 [Little Voice] *
                            1 [Pride & Prejudice] *
                            1 [Secrets & Lies]
                           )

                         = 1.06
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 14 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.61% (5.40 × 1019 overall)
  • This Post (0.61%)
  • Craig Ferguson (1.70%)
  • Brenda Blethyn (1.70%)
  • Martin Clunes (1.09%)
  • Winnie the Pooh (0.61%)
  • Pride & Prejudice (0.61%)
  • Secrets & Lies (0.61%)
  • British Men Behaving Badly (0.27%)
  • I'll Be There (0.27%)
  • Little Voice (0.27%)
  • How to Train Your Dragon 2 (0.07%)
Dominant nodes (excluded from chart)
Atonement 27.23%Shakespeare in Love 22.06%Doc Martin 22.06%The Drew Carey Show 20.83%
Influence Share (vs Direct Neighbours)
6.64% (1.06 overall)
  • This Post (6.64%)
  • The Drew Carey Show (7.03%)
  • Martin Clunes (6.64%)
  • Craig Ferguson (6.64%)
  • Brenda Blethyn (6.64%)
  • Shakespeare in Love (6.64%)
  • British Men Behaving Badly (6.64%)
  • Doc Martin (6.64%)
  • Winnie the Pooh (6.64%)
  • How to Train Your Dragon 2 (6.64%)
  • I'll Be There (6.64%)
  • Atonement (6.64%)
  • Little Voice (6.64%)
  • Pride & Prejudice (6.64%)
  • Secrets & Lies (6.64%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Drew Carey Show ↗
Str: 306Inf: 1.06
Martin Clunes ↗
Str: 16Inf: 1
Craig Ferguson ↗
Str: 25Inf: 1
Brenda Blethyn ↗
Str: 25Inf: 1
Shakespeare in Love ↗
Str: 324Inf: 1
British Men Behaving Badly ↗
Str: 4Inf: 1
Doc Martin ↗
Str: 324Inf: 1
Winnie the Pooh ↗
Str: 9Inf: 1
How to Train Your Dragon 2 ↗
Str: 1Inf: 1
I'll Be There ↗
Str: 4Inf: 1
Atonement ↗
Str: 400Inf: 1
Little Voice ↗
Str: 4Inf: 1
Pride & Prejudice ↗
Str: 9Inf: 1
Secrets & Lies ↗
Str: 9Inf: 1
Weakest Connections (Lowest Multipliers)
Secrets & Lies ↗
Str: 9Inf: 1
Pride & Prejudice ↗
Str: 9Inf: 1
Little Voice ↗
Str: 4Inf: 1
Atonement ↗
Str: 400Inf: 1
I'll Be There ↗
Str: 4Inf: 1
How to Train Your Dragon 2 ↗
Str: 1Inf: 1
Winnie the Pooh ↗
Str: 9Inf: 1
Doc Martin ↗
Str: 324Inf: 1
British Men Behaving Badly ↗
Str: 4Inf: 1
Shakespeare in Love ↗
Str: 324Inf: 1
Brenda Blethyn ↗
Str: 25Inf: 1
Craig Ferguson ↗
Str: 25Inf: 1
Martin Clunes ↗
Str: 16Inf: 1
The Drew Carey Show ↗
Str: 306Inf: 1.06

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

Outbound Tags (3)
Brenda Blethyn
Craig Ferguson
Martin Clunes
Inbound Posts (3)
Martin Clunes
Craig Ferguson
Brenda Blethyn
Last calculated: Jun 26, 12:21 AM
31

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  • Pride & Prejudice
  • Doc Martin
  • Secrets & Lies
  • The Drew Carey Show
  • Winnie the Pooh
  • How to Train Your Dragon 2
  • Atonement
  • Shakespeare in Love
  • Little Voice