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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 196 [The Dark Knight] *
441 [Batman Begins] *
196 [Michael Caine] *
361 [Inception] *
225 [The Cider House Rules] *
324 [The Prestige] *
576 [The Dark Knight Rises] *
289 [Miss Congeniality] *
289 [Interstellar] *
324 [Now You See Me] *
324 [Last Love] *
289 [Dressed to Kill] *
256 [Dirty Rotten Scoundrels] *
361 [The Ipcress File] *
9 [Graham Greene] *
289 [Dances with Wolves] *
361 [The Fallen Idol]
)
= 2.26 x 10^41
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Dark Knight] *
1 [Batman Begins] *
1 [Michael Caine] *
1 [Inception] *
1 [The Cider House Rules] *
1 [The Prestige] *
1 [The Dark Knight Rises] *
1 [Miss Congeniality] *
1 [Interstellar] *
1 [Now You See Me] *
1 [Last Love] *
1 [Dressed to Kill] *
1 [Dirty Rotten Scoundrels] *
1 [The Ipcress File] *
1 [Graham Greene] *
1 [Dances with Wolves] *
1 [The Fallen Idol]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.08%
(2.26 × 1041 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)