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Eating

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Related Images

Half-eaten
Eating behavior

Connected Bands/Artists

  • Animals eating
  • Before eating
  • Eaten
  • Hands-free eating
  • Human eating
  • Vore

Connected Musicians

  • Gërdec
  • Vorë train station

Analyzing Network Connections...

Network Profile

Overall Strength
i
69.23% of network
(324)
Strength Breakdown
  • This Post (69.23%)
  • Vore (17.31%)
  • Animals eating (1.92%)
  • Before eating (1.92%)
  • Eaten (1.92%)
  • Hands-free eating (1.92%)
  • Human eating (1.92%)
  • Gërdec (1.92%)
  • Vorë train station (1.92%)
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Animals eating (11.11%)
  • Before eating (11.11%)
  • Eaten (11.11%)
  • Hands-free eating (11.11%)
  • Human eating (11.11%)
  • Vore (11.11%)
  • Gërdec (11.11%)
  • Vorë train station (11.11%)
Direct Connections 12

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, 6) = 6
$outbound = max(1, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 1 [Animals eating] *
                            1 [Before eating] *
                            1 [Eaten] *
                            1 [Hands-free eating] *
                            1 [Human eating] *
                            9 [Vore] *
                            1 [Gërdec] *
                            1 [Vorë train station]
                           )

                         = 324

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Animals eating] *
                            1 [Before eating] *
                            1 [Eaten] *
                            1 [Hands-free eating] *
                            1 [Human eating] *
                            1 [Vore] *
                            1 [Gërdec] *
                            1 [Vorë train station]
                           )

                         = 1
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 8 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
69.23% (324 overall)
  • This Post (69.23%)
  • Vore (17.31%)
  • Animals eating (1.92%)
  • Before eating (1.92%)
  • Eaten (1.92%)
  • Hands-free eating (1.92%)
  • Human eating (1.92%)
  • Gërdec (1.92%)
  • Vorë train station (1.92%)
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Animals eating (11.11%)
  • Before eating (11.11%)
  • Eaten (11.11%)
  • Hands-free eating (11.11%)
  • Human eating (11.11%)
  • Vore (11.11%)
  • Gërdec (11.11%)
  • Vorë train station (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Animals eating ↗
Str: 1Inf: 1
Before eating ↗
Str: 1Inf: 1
Eaten ↗
Str: 1Inf: 1
Hands-free eating ↗
Str: 1Inf: 1
Human eating ↗
Str: 1Inf: 1
Vore ↗
Str: 9Inf: 1
Gërdec ↗
Str: 1Inf: 1
Vorë train station ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vorë train station ↗
Str: 1Inf: 1
Gërdec ↗
Str: 1Inf: 1
Vore ↗
Str: 9Inf: 1
Human eating ↗
Str: 1Inf: 1
Hands-free eating ↗
Str: 1Inf: 1
Eaten ↗
Str: 1Inf: 1
Before eating ↗
Str: 1Inf: 1
Animals eating ↗
Str: 1Inf: 1

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

Outbound Tags (6)
Animals eating
Before eating
Eaten
Hands-free eating
Human eating
Vore
Inbound Posts (6)
Animals eating
Before eating
Eaten
Hands-free eating
Human eating
Vore
Last calculated: Jul 28, 4:35 AM
43

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