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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Good Riddance] *
9 [Dave Raun] *
9 [Sean Sellers] *
4 [David Wagenschutz] *
1 [Andrew Jackson (25)] *
1 [Chuck Platt] *
1 [Devin Quinn] *
1 [Grandma (6)] *
1 [Jade Dylan] *
1 [Luke Pabich] *
1 [Rich McDermott] *
1 [Rob Land (2)] *
1 [Tom Kennedy (14)] *
144 [Bill Stevenson] *
49 [Zach Blair] *
9 [Aaron Dalbec] *
49 [Only Crime] *
1 [Dan Kelly (9)] *
1 [Doni Blair] *
4 [Matt Hoffman]
)
= 2.73T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Good Riddance] *
1 [Dave Raun] *
1 [Sean Sellers] *
1 [David Wagenschutz] *
1 [Andrew Jackson (25)] *
1 [Chuck Platt] *
1 [Devin Quinn] *
1 [Grandma (6)] *
1 [Jade Dylan] *
1 [Luke Pabich] *
1 [Rich McDermott] *
1 [Rob Land (2)] *
1 [Tom Kennedy (14)] *
1 [Bill Stevenson] *
1 [Zach Blair] *
1 [Aaron Dalbec] *
1 [Only Crime] *
1 [Dan Kelly (9)] *
1 [Doni Blair] *
1 [Matt Hoffman]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Good Riddance 36.66%Bill Stevenson 31.24%Zach Blair 10.63%Only Crime 10.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)