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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Zara Phythian] *
72 [Rachel McAdams] *
169 [Benedict Cumberbatch] *
9 [Pat Kiernan] *
25 [Mads Mikkelsen] *
64 [Tilda Swinton] *
64 [Benjamin Bratt] *
25 [Benedict Wong] *
16 [Chiwetel Ejiofor] *
361 [Doctor Strange] *
16 [Amy Landecker] *
1 [Katrina Durden] *
16 [Linda Louise Duan] *
16 [Mark Anthony Brighton] *
25 [Meera Syal] *
49 [Michael Stuhlbarg] *
25 [Scott Adkins] *
9 [Topo Wresniwiro] *
16 [Umit Ulgen]
)
= 3.51 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Zara Phythian] *
1.13 [Rachel McAdams] *
1 [Benedict Cumberbatch] *
1 [Pat Kiernan] *
1 [Mads Mikkelsen] *
1 [Tilda Swinton] *
1 [Benjamin Bratt] *
1 [Benedict Wong] *
1 [Chiwetel Ejiofor] *
1 [Doctor Strange] *
1 [Amy Landecker] *
1 [Katrina Durden] *
1 [Linda Louise Duan] *
1 [Mark Anthony Brighton] *
1 [Meera Syal] *
1 [Michael Stuhlbarg] *
1 [Scott Adkins] *
1 [Topo Wresniwiro] *
1 [Umit Ulgen]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.10%
(3.51 × 1026 overall)
Dominant nodes (excluded from chart)Doctor Strange 36.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)