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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 64 [Clint Eastwood] *
49 [Kevin Costner] *
36 [Leo Burmester] *
81 [Bradley Whitford] *
4 [Paul Hewitt] *
16 [Ray McKinnon] *
121 [Laura Dern] *
4 [Darryl Cox] *
324 [A Perfect World] *
1 [Christopher Reagan Ammons] *
1 [Jay Whiteaker] *
1 [Jennifer Griffin] *
16 [Keith Szarabajka] *
1 [Leslie Flowers] *
1 [Mark Voges] *
1 [T.J. Lowther] *
1 [Taylor Suzanna McBride] *
1 [Vernon Grote]
)
= 1.47 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Clint Eastwood] *
1 [Kevin Costner] *
1 [Leo Burmester] *
1 [Bradley Whitford] *
1 [Paul Hewitt] *
1 [Ray McKinnon] *
1 [Laura Dern] *
1 [Darryl Cox] *
1 [A Perfect World] *
1 [Christopher Reagan Ammons] *
1 [Jay Whiteaker] *
1 [Jennifer Griffin] *
1 [Keith Szarabajka] *
1 [Leslie Flowers] *
1 [Mark Voges] *
1 [T.J. Lowther] *
1 [Taylor Suzanna McBride] *
1 [Vernon Grote]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(1.47 × 1015 overall)
Dominant nodes (excluded from chart)A Perfect World 44.75%Laura Dern 16.71%Bradley Whitford 11.19%Clint Eastwood 8.84%Kevin Costner 6.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)