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, 10) = 10
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 2 [The Chariot] *
30 [Hot Cross] *
42 [City Of Caterpillar] *
1 [Andrew Michael Radin] *
1 [Benjamin Rutledge Steidel] *
1 [Daniel Patrick Bajda] *
1 [David Manuel Mello] *
1 [Matthew Martin Bajda] *
1 [Rob Beckstrom] *
1 [Rob Prevail] *
1 [Sean O'Shea (2)] *
1 [Seth Robert Baab]
)
= 226.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 2 [The Chariot] *
1.2 [Hot Cross] *
1.17 [City Of Caterpillar] *
1 [Andrew Michael Radin] *
1 [Benjamin Rutledge Steidel] *
1 [Daniel Patrick Bajda] *
1 [David Manuel Mello] *
1 [Matthew Martin Bajda] *
1 [Rob Beckstrom] *
1 [Rob Prevail] *
1 [Sean O'Shea (2)] *
1 [Seth Robert Baab]
)
= 3.11
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)City Of Caterpillar 24.28%Hot Cross 17.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)