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 *
( 30 [Chiwetel Ejiofor] *
36 [Matthew McConaughey] *
81 [Anthony Hopkins] *
81 [Djimon Hounsou] *
49 [Pete Postlethwaite] *
225 [Morgan Freeman] *
49 [Stellan Skarsgård] *
25 [John Ortiz] *
49 [Ralph Brown] *
9 [David Paymer] *
361 [Amistad] *
81 [Anna Paquin] *
1 [Abu Bakaar Fofanah] *
4 [Geno Silva] *
16 [Nigel Hawthorne] *
1 [Darren E. Burrows] *
1 [Derrick N. Ashong] *
1 [Tomas Milian] *
6 [Giovanni Battista Viotti]
)
= 4.74 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Chiwetel Ejiofor] *
1 [Matthew McConaughey] *
1 [Anthony Hopkins] *
1 [Djimon Hounsou] *
1 [Pete Postlethwaite] *
1 [Morgan Freeman] *
1 [Stellan Skarsgård] *
1 [John Ortiz] *
1 [Ralph Brown] *
1 [David Paymer] *
1 [Amistad] *
1 [Anna Paquin] *
1 [Abu Bakaar Fofanah] *
1 [Geno Silva] *
1 [Nigel Hawthorne] *
1 [Darren E. Burrows] *
1 [Derrick N. Ashong] *
1 [Tomas Milian] *
0.6667 [Giovanni Battista Viotti]
)
= 0.8
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)
0.09%
(4.74 × 1023 overall)
Dominant nodes (excluded from chart)Amistad 32.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)