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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Iain Glen] *
324 [The Windermere Children] *
1 [Alicia Pokladecka] *
1 [Anna Maciejewska] *
1 [Anna Schumacher] *
1 [India Angerman] *
9 [Jakub Jankiewicz] *
1 [Kacper Swietek] *
1 [Konstantin Frank] *
1 [Kuba Sprenger] *
1 [Lukasz Zieba] *
1 [Marcel Sabat] *
1 [Marek Wroblewski] *
1 [Pascal Fischer] *
9 [Philipp Christopher] *
25 [Romola Garai] *
9 [Thomas Kretschmann] *
4 [Tim McInnerny]
)
= 377.91M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Iain Glen] *
1 [The Windermere Children] *
1 [Alicia Pokladecka] *
1 [Anna Maciejewska] *
1 [Anna Schumacher] *
1 [India Angerman] *
1 [Jakub Jankiewicz] *
1 [Kacper Swietek] *
1 [Konstantin Frank] *
1 [Kuba Sprenger] *
1 [Lukasz Zieba] *
1 [Marcel Sabat] *
1 [Marek Wroblewski] *
1 [Pascal Fischer] *
1 [Philipp Christopher] *
1 [Romola Garai] *
1 [Thomas Kretschmann] *
1 [Tim McInnerny]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Windermere Children 79.41%Romola Garai 6.13%Iain Glen 3.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)