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, 19) = 19
$outbound = max(1, 19) = 19
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 19 * 19 = 361
Base_Influence (IV) = $inbound / $outbound = 19 / 19 = 1
// 3. Exponential Network Values (accumulating 52 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 361 *
( 6 [Gilbert Glenn Brown] *
12 [Anne Charrier] *
12 [Hassam Ghancy] *
324 [Alien: Resurrection] *
4 [Dominique Pinon] *
256 [The Commuter] *
25 [Adam Nagaitis] *
9 [The Terror] *
1 [The Man with the Iron Heart] *
1 [Walk Invisible: The Brontë Sisters] *
361 [127 Hours] *
36 [Clémence Poésy] *
441 [Harry Potter and the Deathly Hallows: Part 1] *
9 [In Bruges] *
324 [Last Love] *
441 [Harry Potter and the Deathly Hallows: Part 2] *
324 [Lost in Austen] *
25 [Daniel Percival] *
1 [Dirty War] *
9 [The Man in the High Castle] *
324 [The State Within] *
16 [Catherine Arditi] *
25 [Eriq Ebouaney] *
1 [François Delaive] *
1 [Hugo Dillon] *
16 [Laïka Blanc-Francard] *
4 [Louis Puech Scigliuzzi] *
1 [Lukerya Ilyashenko] *
1 [Maxime Lefrançois] *
1 [Norman Reedus] *
1 [Romain Levi] *
16 [Sabine Pakora] *
1 [Tristan Zanchi] *
1 [Cassandre] *
1 [My Night] *
1 [Reign Supreme] *
1 [Par le sang] *
1 [Prêtes à tout] *
1 [Show Me More] *
361 [3 Days to Kill] *
9 [Kingdom of Heaven] *
324 [The Nativity Story] *
9 [Transporter 3] *
1 [Le dernier saut] *
1 [Temps de chien] *
1 [Mélo] *
4 [The Baader Meinhof Complex] *
1 [Rendition] *
1 [Karmen] *
1 [samba] *
1 [Black Snake: La légende du serpent noir] *
400 [Stargirl]
)
= 2.52 x 10^49
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Gilbert Glenn Brown] *
1.33 [Anne Charrier] *
1.33 [Hassam Ghancy] *
1 [Alien: Resurrection] *
1 [Dominique Pinon] *
1 [The Commuter] *
1 [Adam Nagaitis] *
1 [The Terror] *
1 [The Man with the Iron Heart] *
1 [Walk Invisible: The Brontë Sisters] *
1 [127 Hours] *
1 [Clémence Poésy] *
1 [Harry Potter and the Deathly Hallows: Part 1] *
1 [In Bruges] *
1 [Last Love] *
1 [Harry Potter and the Deathly Hallows: Part 2] *
1 [Lost in Austen] *
1 [Daniel Percival] *
1 [Dirty War] *
1 [The Man in the High Castle] *
1 [The State Within] *
1 [Catherine Arditi] *
1 [Eriq Ebouaney] *
1 [François Delaive] *
1 [Hugo Dillon] *
1 [Laïka Blanc-Francard] *
1 [Louis Puech Scigliuzzi] *
1 [Lukerya Ilyashenko] *
1 [Maxime Lefrançois] *
1 [Norman Reedus] *
1 [Romain Levi] *
1 [Sabine Pakora] *
1 [Tristan Zanchi] *
1 [Cassandre] *
1 [My Night] *
1 [Reign Supreme] *
1 [Par le sang] *
1 [Prêtes à tout] *
1 [Show Me More] *
1 [3 Days to Kill] *
1 [Kingdom of Heaven] *
1 [The Nativity Story] *
1 [Transporter 3] *
1 [Le dernier saut] *
1 [Temps de chien] *
1 [Mélo] *
1 [The Baader Meinhof Complex] *
1 [Rendition] *
1 [Karmen] *
1 [samba] *
1 [Black Snake: La légende du serpent noir] *
1 [Stargirl]
)
= 2.67
Outbound
19
Tags on post
Inbound
19
Posts tagging this
Connections
52
Total nodes
Base Node Strength
361
Base Node Influence
1
Strength Share (vs Direct Neighbours)
8.00%
(2.52 × 1049 overall)
Dominant nodes (excluded from chart)Harry Potter and the Deathly Hallows: Part 1 9.78%Harry Potter and the Deathly Hallows: Part 2 9.78%Stargirl 8.87%127 Hours 8.00%3 Days to Kill 8.00%Alien: Resurrection 7.18%Last Love 7.18%Lost in Austen 7.18%The State Within 7.18%The Nativity Story 7.18%The Commuter 5.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)