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, 21) = 21
$outbound = max(1, 21) = 21
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 21 * 21 = 441
Base_Influence (IV) = $inbound / $outbound = 21 / 21 = 1
// 3. Exponential Network Values (accumulating 39 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 441 *
( 306 [Time After Time] *
506 [12 Monkeys] *
16 [Ernest Abuba] *
324 [King of New York] *
1 [Article 99] *
9 [Rafael Báez] *
144 [Rooftops] *
324 [Shanghai Noon] *
25 [James McCaffrey] *
16 [Lena Cardwell] *
4 [Luna Lauren Velez] *
1 [Fatima Faloye] *
1 [Frank Pellegrino] *
1 [George Gore II] *
1 [Jim Moody] *
1 [Jonathan LaPaglia] *
4 [Josh Hopkins] *
1 [Lee Wong] *
9 [Malik Yoba] *
4 [Marisa Ryan] *
1 [Michael DeLorenzo] *
1 [Michael Michele] *
1 [Jon M. McDonnell] *
1 [Thomas Mikal Ford] *
1 [Victor Colicchio] *
4 [Patti D'Arbanville] *
1 [José Pérez] *
324 [Max Payne 2: The Fall of Max Payne] *
441 [Max Payne] *
4 [Max Payne 3] *
4 [The Truth About Cats & Dogs] *
441 [Passions] *
324 [Jeepers Creepers 2] *
16 [Garfield: A Tail of Two Kitties] *
1 [Cop Land] *
1 [The Good Nurse] *
324 [Transformers: Rise of the Beasts] *
324 [Wet Hot American Summer] *
361 [Cougar Town]
)
= 2.71 x 10^43
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Time After Time] *
1.05 [12 Monkeys] *
1 [Ernest Abuba] *
1 [King of New York] *
1 [Article 99] *
1 [Rafael Báez] *
1 [Rooftops] *
1 [Shanghai Noon] *
1 [James McCaffrey] *
1 [Lena Cardwell] *
1 [Luna Lauren Velez] *
1 [Fatima Faloye] *
1 [Frank Pellegrino] *
1 [George Gore II] *
1 [Jim Moody] *
1 [Jonathan LaPaglia] *
1 [Josh Hopkins] *
1 [Lee Wong] *
1 [Malik Yoba] *
1 [Marisa Ryan] *
1 [Michael DeLorenzo] *
1 [Michael Michele] *
1 [Jon M. McDonnell] *
1 [Thomas Mikal Ford] *
1 [Victor Colicchio] *
1 [Patti D'Arbanville] *
1 [José Pérez] *
1 [Max Payne 2: The Fall of Max Payne] *
1 [Max Payne] *
1 [Max Payne 3] *
1 [The Truth About Cats & Dogs] *
1 [Passions] *
1 [Jeepers Creepers 2] *
1 [Garfield: A Tail of Two Kitties] *
1 [Cop Land] *
1 [The Good Nurse] *
1 [Transformers: Rise of the Beasts] *
1 [Wet Hot American Summer] *
1 [Cougar Town]
)
= 1.11
Outbound
21
Tags on post
Inbound
21
Posts tagging this
Connections
39
Total nodes
Base Node Strength
441
Base Node Influence
1
Strength Share (vs Direct Neighbours)
9.36%
(2.71 × 1043 overall)
Dominant nodes (excluded from chart)12 Monkeys 10.73%Max Payne 9.36%Passions 9.36%Cougar Town 7.66%King of New York 6.87%Shanghai Noon 6.87%Max Payne 2: The Fall of Max Payne 6.87%Jeepers Creepers 2 6.87%Transformers: Rise of the Beasts 6.87%Wet Hot American Summer 6.87%Time After Time 6.49%Rooftops 3.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)