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, 0) = 1
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 3 = 3
Base_Influence (IV) = $inbound / $outbound = 1 / 3 = 0.3333
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 3 *
( 30 [Retta] *
25 [Jack Carpenter] *
25 [Kevin Rankin] *
36 [Keanu Reeves] *
4 [Claws] *
16 [Alex Sharp] *
289 [To the Bone] *
9 [Alanna Ubach] *
4 [The Good Wife] *
1 [Hana Hayes] *
1 [Joanna Sanchez] *
1 [Karen Zahler] *
1 [Kathryn Prescott] *
1 [Liana Liberato] *
1 [Lindsey McDowell] *
1 [Maya Eshet] *
1 [Rebekah Kennedy] *
1 [Dana L. Wilson] *
1 [Don O. Knowlton] *
1 [Valerie Palencar] *
1 [Ziah Colon]
)
= 1.35T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.3333 *
( 1.2 [Retta] *
1 [Jack Carpenter] *
1 [Kevin Rankin] *
1 [Keanu Reeves] *
1 [Claws] *
1 [Alex Sharp] *
1 [To the Bone] *
1 [Alanna Ubach] *
1 [The Good Wife] *
1 [Hana Hayes] *
1 [Joanna Sanchez] *
1 [Karen Zahler] *
1 [Kathryn Prescott] *
1 [Liana Liberato] *
1 [Lindsey McDowell] *
1 [Maya Eshet] *
1 [Rebekah Kennedy] *
1 [Dana L. Wilson] *
1 [Don O. Knowlton] *
1 [Valerie Palencar] *
1 [Ziah Colon]
)
= 0.4
Outbound
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
3
Base Node Influence
0.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)To the Bone 63.80%Keanu Reeves 7.95%Retta 6.62%Jack Carpenter 5.52%Kevin Rankin 5.52%Alex Sharp 3.53%
Influence Share (vs Direct Neighbours)
Direct Connections (Inbound & Outbound)