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Lawmen: Bass ReevesStreet FighterAndrew BryniarskiBatman ReturnsHeather KafkaLovers of HateHudson Hawk

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.60% of network
(5.46B)
Strength Breakdown
  • This Post (0.60%)
  • Andrew Bryniarski (3.01%)
  • Hudson Hawk (1.35%)
  • Street Fighter (1.35%)
  • Heather Kafka (1.35%)
  • Lovers of Hate (0.15%)
Dominant nodes (excluded from chart)
Lawmen: Bass Reeves 48.72%Batman Returns 43.46%
Influence Score
i
12.12% of network
(1.25)
Influence Breakdown
  • This Post (12.12%)
  • Andrew Bryniarski (15.15%)
  • Batman Returns (12.12%)
  • Hudson Hawk (12.12%)
  • Street Fighter (12.12%)
  • Lawmen: Bass Reeves (12.12%)
  • Heather Kafka (12.12%)
  • Lovers of Hate (12.12%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 20 [Andrew Bryniarski] *
                            289 [Batman Returns] *
                            9 [Hudson Hawk] *
                            9 [Street Fighter] *
                            324 [Lawmen: Bass Reeves] *
                            9 [Heather Kafka] *
                            1 [Lovers of Hate]
                           )

                         = 5.46B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.25 [Andrew Bryniarski] *
                            1 [Batman Returns] *
                            1 [Hudson Hawk] *
                            1 [Street Fighter] *
                            1 [Lawmen: Bass Reeves] *
                            1 [Heather Kafka] *
                            1 [Lovers of Hate]
                           )

                         = 1.25
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 7 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.60% (5.46B overall)
  • This Post (0.60%)
  • Andrew Bryniarski (3.01%)
  • Hudson Hawk (1.35%)
  • Street Fighter (1.35%)
  • Heather Kafka (1.35%)
  • Lovers of Hate (0.15%)
Dominant nodes (excluded from chart)
Lawmen: Bass Reeves 48.72%Batman Returns 43.46%
Influence Share (vs Direct Neighbours)
12.12% (1.25 overall)
  • This Post (12.12%)
  • Andrew Bryniarski (15.15%)
  • Batman Returns (12.12%)
  • Hudson Hawk (12.12%)
  • Street Fighter (12.12%)
  • Lawmen: Bass Reeves (12.12%)
  • Heather Kafka (12.12%)
  • Lovers of Hate (12.12%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Andrew Bryniarski ↗
Str: 20Inf: 1.25
Batman Returns ↗
Str: 289Inf: 1
Hudson Hawk ↗
Str: 9Inf: 1
Street Fighter ↗
Str: 9Inf: 1
Lawmen: Bass Reeves ↗
Str: 324Inf: 1
Heather Kafka ↗
Str: 9Inf: 1
Lovers of Hate ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Lovers of Hate ↗
Str: 1Inf: 1
Heather Kafka ↗
Str: 9Inf: 1
Lawmen: Bass Reeves ↗
Str: 324Inf: 1
Street Fighter ↗
Str: 9Inf: 1
Hudson Hawk ↗
Str: 9Inf: 1
Batman Returns ↗
Str: 289Inf: 1
Andrew Bryniarski ↗
Str: 20Inf: 1.25

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

Outbound Tags (2)
Andrew Bryniarski
Heather Kafka
Inbound Posts (2)
Andrew Bryniarski
Heather Kafka
Last calculated: Jul 1, 6:12 AM
31

Related Content

Actors

  • Heather Kafka
  • Andrew Bryniarski

Films

  • Hudson Hawk
  • Street Fighter
  • Lawmen: Bass Reeves
  • Lovers of Hate
  • Batman Returns