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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 12 [Joachim Paul Assböck] *
81 [Adrien Brody] *
25 [Richard Ridings] *
361 [The Pianist] *
9 [Thomas Kretschmann] *
9 [Anthony Milner] *
1 [Ben Harlan] *
1 [Ed Stoppard] *
9 [Emilia Fox] *
16 [Frank Finlay] *
1 [Jessica Kate Meyer] *
1 [Julia Rayner] *
1 [Lucy Skeaping] *
16 [Michal Zebrowski] *
1 [Nomi Sharron] *
1 [Roddy Skeaping] *
16 [Thomas Lawinky] *
16 [Wanja Mues] *
16 [Andrzej Szenajch] *
1 [Educating Rita]
)
= 4.02 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.33 [Joachim Paul Assböck] *
1 [Adrien Brody] *
1 [Richard Ridings] *
1 [The Pianist] *
1 [Thomas Kretschmann] *
1 [Anthony Milner] *
1 [Ben Harlan] *
1 [Ed Stoppard] *
1 [Emilia Fox] *
1 [Frank Finlay] *
1 [Jessica Kate Meyer] *
1 [Julia Rayner] *
1 [Lucy Skeaping] *
1 [Michal Zebrowski] *
1 [Nomi Sharron] *
1 [Roddy Skeaping] *
1 [Thomas Lawinky] *
1 [Wanja Mues] *
1 [Andrzej Szenajch] *
1 [Educating Rita]
)
= 2
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
1.00%
(4.02 × 1016 overall)
Dominant nodes (excluded from chart)The Pianist 60.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)