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Cystic acneBlackheadsNeonatal acnePeople with chloracnePropionibacterium acnes
Acne

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Chloracne

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Analyzing Network Connections...

Network Profile

Overall Strength
i
11.76% of network
(100)
Strength Breakdown
  • This Post (11.76%)
  • People with chloracne (2.94%)
  • Blackheads (2.94%)
  • Cystic acne (2.94%)
  • Neonatal acne (2.94%)
  • Propionibacterium acnes (2.94%)
Dominant nodes (excluded from chart)
Acne 73.53%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Acne (14.29%)
  • People with chloracne (14.29%)
  • Blackheads (14.29%)
  • Cystic acne (14.29%)
  • Neonatal acne (14.29%)
  • Propionibacterium acnes (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 25 [Acne] *
                            1 [People with chloracne] *
                            1 [Blackheads] *
                            1 [Cystic acne] *
                            1 [Neonatal acne] *
                            1 [Propionibacterium acnes]
                           )

                         = 100

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Acne] *
                            1 [People with chloracne] *
                            1 [Blackheads] *
                            1 [Cystic acne] *
                            1 [Neonatal acne] *
                            1 [Propionibacterium acnes]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 6 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
11.76% (100 overall)
  • This Post (11.76%)
  • People with chloracne (2.94%)
  • Blackheads (2.94%)
  • Cystic acne (2.94%)
  • Neonatal acne (2.94%)
  • Propionibacterium acnes (2.94%)
Dominant nodes (excluded from chart)
Acne 73.53%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Acne (14.29%)
  • People with chloracne (14.29%)
  • Blackheads (14.29%)
  • Cystic acne (14.29%)
  • Neonatal acne (14.29%)
  • Propionibacterium acnes (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Acne ↗
Str: 25Inf: 1
People with chloracne ↗
Str: 1Inf: 1
Blackheads ↗
Str: 1Inf: 1
Cystic acne ↗
Str: 1Inf: 1
Neonatal acne ↗
Str: 1Inf: 1
Propionibacterium acnes ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Propionibacterium acnes ↗
Str: 1Inf: 1
Neonatal acne ↗
Str: 1Inf: 1
Cystic acne ↗
Str: 1Inf: 1
Blackheads ↗
Str: 1Inf: 1
People with chloracne ↗
Str: 1Inf: 1
Acne ↗
Str: 25Inf: 1

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

Outbound Tags (2)
Acne
People with chloracne
Inbound Posts (2)
Acne
People with chloracne
Last calculated: Oct 1, 1:10 PM
20

Related Content

Topics

  • Blackheads
  • Cystic acne
  • Neonatal acne
  • Propionibacterium acnes
  • Acne
  • People with chloracne

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