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, 18) = 18
$outbound = max(1, 18) = 18
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 18 * 18 = 324
Base_Influence (IV) = $inbound / $outbound = 18 / 18 = 1
// 3. Exponential Network Values (accumulating 48 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 324 *
( 8 [Hiam Abbass] *
20 [Shaun Toub] *
380 [Frozen] *
420 [The Expanse] *
289 [Iron Man 3] *
196 [Crash] *
1 [The Kite Runner] *
441 [Blade Runner 2049] *
9 [A Most Violent Year] *
400 [X-Men: Apocalypse] *
25 [Oscar Isaac] *
16 [Ex Machina] *
36 [Star Wars: Episode VIII - The Last Jedi] *
361 [3 Days to Kill] *
361 [The Walking Dead: Daryl Dixon] *
25 [Eriq Ebouaney] *
9 [Kingdom of Heaven] *
9 [Transporter 3] *
324 [House of Sand and Fog] *
324 [The Sisterhood of the Traveling Pants 2] *
36 [Shohreh Aghdashloo] *
225 [The Exorcism of Emily Rose] *
324 [The Lake House] *
361 [Tinker Tailor Soldier Spy] *
441 [Harry Potter and the Deathly Hallows: Part 2] *
361 [Red Sparrow] *
36 [Ciarán Hinds] *
1 [The Woman in Black] *
9 [Keisha Castle-Hughes] *
1 [Alessandro Giuggioli] *
4 [Alexander Siddig] *
1 [Farida Ouchani] *
1 [Francesca Piliero] *
25 [Kais Nashif] *
1 [Maria Giovanna Donzelli] *
1 [Nadim Sawalha] *
1 [Serge Feuillard] *
4 [Stanley Townsend] *
1 [Stefan Kalipha] *
1 [Saïd Amadis] *
441 [FBI: Most Wanted] *
361 [Gotham Knights] *
289 [The Current War] *
324 [Star Trek: Deep Space Nine] *
4 [Body of Lies] *
1 [Abu Omar] *
1 [Paradise Now] *
1 [Tel Aviv on Fire]
)
= 3.46 x 10^68
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Hiam Abbass] *
1.25 [Shaun Toub] *
1.05 [Frozen] *
1.05 [The Expanse] *
1 [Iron Man 3] *
1 [Crash] *
1 [The Kite Runner] *
1 [Blade Runner 2049] *
1 [A Most Violent Year] *
1 [X-Men: Apocalypse] *
1 [Oscar Isaac] *
1 [Ex Machina] *
1 [Star Wars: Episode VIII - The Last Jedi] *
1 [3 Days to Kill] *
1 [The Walking Dead: Daryl Dixon] *
1 [Eriq Ebouaney] *
1 [Kingdom of Heaven] *
1 [Transporter 3] *
1 [House of Sand and Fog] *
1 [The Sisterhood of the Traveling Pants 2] *
1 [Shohreh Aghdashloo] *
1 [The Exorcism of Emily Rose] *
1 [The Lake House] *
1 [Tinker Tailor Soldier Spy] *
1 [Harry Potter and the Deathly Hallows: Part 2] *
1 [Red Sparrow] *
1 [Ciarán Hinds] *
1 [The Woman in Black] *
1 [Keisha Castle-Hughes] *
1 [Alessandro Giuggioli] *
1 [Alexander Siddig] *
1 [Farida Ouchani] *
1 [Francesca Piliero] *
1 [Kais Nashif] *
1 [Maria Giovanna Donzelli] *
1 [Nadim Sawalha] *
1 [Serge Feuillard] *
1 [Stanley Townsend] *
1 [Stefan Kalipha] *
1 [Saïd Amadis] *
1 [FBI: Most Wanted] *
1 [Gotham Knights] *
1 [The Current War] *
1 [Star Trek: Deep Space Nine] *
1 [Body of Lies] *
1 [Abu Omar] *
1 [Paradise Now] *
1 [Tel Aviv on Fire]
)
= 2.76
Outbound
18
Tags on post
Inbound
18
Posts tagging this
Connections
48
Total nodes
Base Node Strength
324
Base Node Influence
1
Strength Share (vs Direct Neighbours)
4.48%
(3.46 × 1068 overall)
Dominant nodes (excluded from chart)Blade Runner 2049 6.10%Harry Potter and the Deathly Hallows: Part 2 6.10%FBI: Most Wanted 6.10%The Expanse 5.81%X-Men: Apocalypse 5.53%Frozen 5.25%3 Days to Kill 4.99%The Walking Dead: Daryl Dixon 4.99%Tinker Tailor Soldier Spy 4.99%Red Sparrow 4.99%Gotham Knights 4.99%House of Sand and Fog 4.48%The Sisterhood of the Traveling Pants 2 4.48%The Lake House 4.48%Star Trek: Deep Space Nine 4.48%Iron Man 3 3.99%The Current War 3.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)