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, 9) = 9
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 10 = 90
Base_Influence (IV) = $inbound / $outbound = 9 / 10 = 0.9
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 3 [Christopher Heyerdahl] *
156 [Kara] *
1 [Centrale] *
1 [Maritime] *
1 [Plateaux] *
1 [Savanes] *
1 [Society of Togo] *
1 [Symbols of Togo] *
1 [Togo by media type] *
1 [Wikimedia movement in Togo] *
1 [Hara (17)] *
1 [Jiyoung] *
1 [Nicole (86)] *
4 [Seungyeon] *
1 [Sunghee] *
1 [Youngji] *
4 [Han Seung-yeon] *
4 [Heo Youngji] *
9 [Kang Ji-young] *
1 [Nicole Jung] *
4 [Park Gyu-ri]
)
= 97.04M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9 *
( 3 [Christopher Heyerdahl] *
1.08 [Kara] *
1 [Centrale] *
1 [Maritime] *
1 [Plateaux] *
1 [Savanes] *
1 [Society of Togo] *
1 [Symbols of Togo] *
1 [Togo by media type] *
1 [Wikimedia movement in Togo] *
1 [Hara (17)] *
1 [Jiyoung] *
1 [Nicole (86)] *
1 [Seungyeon] *
1 [Sunghee] *
1 [Youngji] *
1 [Han Seung-yeon] *
1 [Heo Youngji] *
1 [Kang Ji-young] *
1 [Nicole Jung] *
1 [Park Gyu-ri]
)
= 2.92
Outbound
9
Tags on post
Inbound
10
Posts tagging this
Connections
21
Total nodes
Base Node Strength
90
Base Node Influence
0.9
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kara 54.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)