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 *
( 361 [The Queers] *
16 [Chris Barnard] *
4 [Danny Sullivan (3)] *
4 [Chris Fields] *
1 [Bobby Gaudreau] *
16 [Dan Schafer] *
1 [Dave Swain (2)] *
1 [Dave Trevino] *
256 [Dusty Watson] *
1 [Evan Shore] *
1 [Geoff Palmer (2)] *
1 [Greg Urbatis] *
1 [JJ Rassler] *
1 [Joe King (2)] *
1 [Justin Disease] *
1 [Keith Hages] *
1 [Kevin Kecy] *
1 [Phillip Hill] *
9 [Geoff Palmer]
)
= 3.41B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Queers] *
1 [Chris Barnard] *
1 [Danny Sullivan (3)] *
1 [Chris Fields] *
1 [Bobby Gaudreau] *
1 [Dan Schafer] *
1 [Dave Swain (2)] *
1 [Dave Trevino] *
1 [Dusty Watson] *
1 [Evan Shore] *
1 [Geoff Palmer (2)] *
1 [Greg Urbatis] *
1 [JJ Rassler] *
1 [Joe King (2)] *
1 [Justin Disease] *
1 [Keith Hages] *
1 [Kevin Kecy] *
1 [Phillip Hill] *
1 [Geoff Palmer]
)
= 1
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)
Dominant nodes (excluded from chart)The Queers 53.17%Dusty Watson 37.70%Chris Barnard 2.36%Dan Schafer 2.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)