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Lawrence DillonJoseph AlessiTimothy YingDavid YingJanet YingPhillip Ying

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Connected Bands/Artists

  • Joseph Alessi

Connected Musicians

  • David Ying
  • Janet Ying
  • Lawrence Dillon
  • Phillip Ying
  • Timothy Ying

Analyzing Network Connections...

Network Profile

Overall Strength
i
73.53% of network
(100)
Strength Breakdown
  • This Post (73.53%)
  • Lawrence Dillon (11.76%)
  • Joseph Alessi (2.94%)
  • David Ying (2.94%)
  • Janet Ying (2.94%)
  • Phillip Ying (2.94%)
  • Timothy Ying (2.94%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Lawrence Dillon (14.29%)
  • Joseph Alessi (14.29%)
  • David Ying (14.29%)
  • Janet Ying (14.29%)
  • Phillip Ying (14.29%)
  • Timothy Ying (14.29%)
Direct Connections 10

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, 5) = 5
$outbound = max(1, 5) = 5

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 25 *
                           ( 4 [Lawrence Dillon] *
                            1 [Joseph Alessi] *
                            1 [David Ying] *
                            1 [Janet Ying] *
                            1 [Phillip Ying] *
                            1 [Timothy Ying]
                           )

                         = 100

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Lawrence Dillon] *
                            1 [Joseph Alessi] *
                            1 [David Ying] *
                            1 [Janet Ying] *
                            1 [Phillip Ying] *
                            1 [Timothy Ying]
                           )

                         = 1
Outbound 5 Tags on post
Inbound 5 Posts tagging this
Connections 6 Total nodes
Base Node Strength 25
Base Node Influence 1
Strength Share (vs Direct Neighbours)
73.53% (100 overall)
  • This Post (73.53%)
  • Lawrence Dillon (11.76%)
  • Joseph Alessi (2.94%)
  • David Ying (2.94%)
  • Janet Ying (2.94%)
  • Phillip Ying (2.94%)
  • Timothy Ying (2.94%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Lawrence Dillon (14.29%)
  • Joseph Alessi (14.29%)
  • David Ying (14.29%)
  • Janet Ying (14.29%)
  • Phillip Ying (14.29%)
  • Timothy Ying (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Lawrence Dillon ↗
Str: 4Inf: 1
Joseph Alessi ↗
Str: 1Inf: 1
David Ying ↗
Str: 1Inf: 1
Janet Ying ↗
Str: 1Inf: 1
Phillip Ying ↗
Str: 1Inf: 1
Timothy Ying ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Timothy Ying ↗
Str: 1Inf: 1
Phillip Ying ↗
Str: 1Inf: 1
Janet Ying ↗
Str: 1Inf: 1
David Ying ↗
Str: 1Inf: 1
Joseph Alessi ↗
Str: 1Inf: 1
Lawrence Dillon ↗
Str: 4Inf: 1

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

Outbound Tags (5)
David Ying
Janet Ying
Lawrence Dillon
Phillip Ying
Timothy Ying
Inbound Posts (5)
Lawrence Dillon
David Ying
Janet Ying
Phillip Ying
Timothy Ying
Last calculated: Jun 25, 12:43 AM
37

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