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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Kai Owen] *
16 [Tom Price] *
4 [Lauren Ambrose] *
36 [Burn Gorman] *
16 [Katsy Chappell] *
16 [Daniele Favilli] *
25 [Mekhi Phifer] *
16 [Bill Pullman] *
441 [Torchwood] *
9 [Paul Kasey] *
16 [Alexa Havins] *
16 [Arlene Tur] *
1 [Eve Myles] *
16 [Gareth David-Lloyd] *
4 [John Barrowman] *
4 [Naoko Mori] *
9 [Nicholas Farrell] *
25 [Peter Capaldi] *
16 [Sharon Morgan] *
16 [Nana Visitor] *
1 [Susan Brown]
)
= 4.24 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Kai Owen] *
1 [Tom Price] *
1 [Lauren Ambrose] *
1 [Burn Gorman] *
1 [Katsy Chappell] *
1 [Daniele Favilli] *
1 [Mekhi Phifer] *
1 [Bill Pullman] *
1 [Torchwood] *
1 [Paul Kasey] *
1 [Alexa Havins] *
1 [Arlene Tur] *
1 [Eve Myles] *
1 [Gareth David-Lloyd] *
1 [John Barrowman] *
1 [Naoko Mori] *
1 [Nicholas Farrell] *
1 [Peter Capaldi] *
1 [Sharon Morgan] *
1 [Nana Visitor] *
1 [Susan Brown]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(4.24 × 1022 overall)
Dominant nodes (excluded from chart)Torchwood 61.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)