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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 4 [Archie Panjabi] *
121 [Ralph Fiennes] *
121 [Bill Nighy] *
324 [The Constant Gardener] *
1 [Bernard Otieno Oduor] *
1 [Damaris Itenyo Agweyu] *
1 [Daniele Harford] *
16 [Danny Huston] *
1 [Donald Apiyo] *
25 [Donald Sumpter] *
1 [Gerard McSorley] *
1 [Jacqueline Maribe] *
16 [John Sibi-Okumu] *
1 [Juliet Aubrey] *
16 [Keith Pearson] *
16 [Nick Reding] *
1 [Packson Ngugi] *
121 [Rachel Weisz] *
4 [La haine] *
1 [Menhir - C'est citer] *
1 [Saraka bô] *
4 [Saïd Taghmaoui]
)
= 9.63 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Archie Panjabi] *
1 [Ralph Fiennes] *
1 [Bill Nighy] *
1 [The Constant Gardener] *
1 [Bernard Otieno Oduor] *
1 [Damaris Itenyo Agweyu] *
1 [Daniele Harford] *
1 [Danny Huston] *
1 [Donald Apiyo] *
1 [Donald Sumpter] *
1 [Gerard McSorley] *
1 [Jacqueline Maribe] *
1 [John Sibi-Okumu] *
1 [Juliet Aubrey] *
1 [Keith Pearson] *
1 [Nick Reding] *
1 [Packson Ngugi] *
1 [Rachel Weisz] *
1 [La haine] *
1 [Menhir - C'est citer] *
1 [Saraka bô] *
1 [Saïd Taghmaoui]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
22
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.97%
(9.63 × 1017 overall)
Dominant nodes (excluded from chart)The Constant Gardener 39.80%Ralph Fiennes 14.86%Bill Nighy 14.86%Rachel Weisz 14.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)