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김정아리지나나 (2)노이영레이나가희이주연유이After SchoolBEKAH (3)

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이가은

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Connected Bands/Artists

  • After School

Connected Musicians

  • 가희
  • 김정아
  • 나나 (2)
  • 노이영
  • 레이나
  • 리지
  • 유이
  • 이주연
  • BEKAH (3)

Network Profile

Overall Strength
i
0.91% of network
(100)
Strength Breakdown
  • This Post (0.91%)
  • BEKAH (3) (0.91%)
  • 나나 (2) (0.91%)
  • 레이나 (0.91%)
  • 리지 (0.91%)
  • 가희 (0.91%)
  • 김정아 (0.91%)
  • 노이영 (0.91%)
  • 유이 (0.91%)
  • 이주연 (0.91%)
Dominant nodes (excluded from chart)
After School 90.91%
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • After School (9.09%)
  • BEKAH (3) (9.09%)
  • 나나 (2) (9.09%)
  • 레이나 (9.09%)
  • 리지 (9.09%)
  • 가희 (9.09%)
  • 김정아 (9.09%)
  • 노이영 (9.09%)
  • 유이 (9.09%)
  • 이주연 (9.09%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 100 [After School] *
                            1 [BEKAH (3)] *
                            1 [나나 (2)] *
                            1 [레이나] *
                            1 [리지] *
                            1 [가희] *
                            1 [김정아] *
                            1 [노이영] *
                            1 [유이] *
                            1 [이주연]
                           )

                         = 100

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [After School] *
                            1 [BEKAH (3)] *
                            1 [나나 (2)] *
                            1 [레이나] *
                            1 [리지] *
                            1 [가희] *
                            1 [김정아] *
                            1 [노이영] *
                            1 [유이] *
                            1 [이주연]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.91% (100 overall)
  • This Post (0.91%)
  • BEKAH (3) (0.91%)
  • 나나 (2) (0.91%)
  • 레이나 (0.91%)
  • 리지 (0.91%)
  • 가희 (0.91%)
  • 김정아 (0.91%)
  • 노이영 (0.91%)
  • 유이 (0.91%)
  • 이주연 (0.91%)
Dominant nodes (excluded from chart)
After School 90.91%
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • After School (9.09%)
  • BEKAH (3) (9.09%)
  • 나나 (2) (9.09%)
  • 레이나 (9.09%)
  • 리지 (9.09%)
  • 가희 (9.09%)
  • 김정아 (9.09%)
  • 노이영 (9.09%)
  • 유이 (9.09%)
  • 이주연 (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
After School ↗
Str: 100Inf: 1
BEKAH (3) ↗
Str: 1Inf: 1
나나 (2) ↗
Str: 1Inf: 1
레이나 ↗
Str: 1Inf: 1
리지 ↗
Str: 1Inf: 1
가희 ↗
Str: 1Inf: 1
김정아 ↗
Str: 1Inf: 1
노이영 ↗
Str: 1Inf: 1
유이 ↗
Str: 1Inf: 1
이주연 ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
이주연 ↗
Str: 1Inf: 1
유이 ↗
Str: 1Inf: 1
노이영 ↗
Str: 1Inf: 1
김정아 ↗
Str: 1Inf: 1
가희 ↗
Str: 1Inf: 1
리지 ↗
Str: 1Inf: 1
레이나 ↗
Str: 1Inf: 1
나나 (2) ↗
Str: 1Inf: 1
BEKAH (3) ↗
Str: 1Inf: 1
After School ↗
Str: 100Inf: 1

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

Outbound Tags (1)
After School
Inbound Posts (1)
After School
Last calculated: Jul 1, 1:02 AM
20

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