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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [Liam Neeson] *
16 [Mr. T] *
400 [The A-Team] *
9 [Melinda Culea] *
16 [Sharlto Copley] *
4 [Eddie Velez] *
49 [Thomas Rosales Jr.] *
16 [Peter Frankland] *
16 [Robert Vaughn] *
4 [Lance LeGault] *
4 [George Peppard] *
1 [Bill Dyer] *
1 [Carl Franklin] *
1 [Dirk Benedict] *
1 [Judith Ledford] *
1 [Marla Heasley] *
1 [Mills Watson] *
1 [Tony Ciccone] *
1 [Ismael 'East' Carlo] *
30 [Jack Ging]
)
= 2.69 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Liam Neeson] *
1 [Mr. T] *
1 [The A-Team] *
1 [Melinda Culea] *
1 [Sharlto Copley] *
1 [Eddie Velez] *
1 [Thomas Rosales Jr.] *
1 [Peter Frankland] *
1 [Robert Vaughn] *
1 [Lance LeGault] *
1 [George Peppard] *
1 [Bill Dyer] *
1 [Carl Franklin] *
1 [Dirk Benedict] *
1 [Judith Ledford] *
1 [Marla Heasley] *
1 [Mills Watson] *
1 [Tony Ciccone] *
1 [Ismael 'East' Carlo] *
0.8333 [Jack Ging]
)
= 0.8333
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(2.69 × 1015 overall)
Dominant nodes (excluded from chart)The A-Team 57.64%Liam Neeson 17.44%Thomas Rosales Jr. 7.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)