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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [The Lord Weird Slough Feg] *
25 [John Cobbett] *
4 [Mike Scalzi] *
1 [Adrian Maestas] *
1 [Angelo Tringali] *
1 [Antoine Reuben Diavola] *
1 [Chris Haa] *
1 [Dave Passmore] *
1 [Greg Haa] *
1 [Harry Cantwell] *
1 [Justin Phelps] *
1 [Omar Herd] *
1 [Scott Beach (2)] *
4 [Josh Smith] *
36 [Weakling] *
1 [Casey Ward] *
1 [John Gossard] *
1 [Sam Foster] *
4 [Sarah Weiner]
)
= 38.94M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Lord Weird Slough Feg] *
1 [John Cobbett] *
1 [Mike Scalzi] *
1 [Adrian Maestas] *
1 [Angelo Tringali] *
1 [Antoine Reuben Diavola] *
1 [Chris Haa] *
1 [Dave Passmore] *
1 [Greg Haa] *
1 [Harry Cantwell] *
1 [Justin Phelps] *
1 [Omar Herd] *
1 [Scott Beach (2)] *
1 [Josh Smith] *
1 [Weakling] *
1 [Casey Ward] *
1 [John Gossard] *
1 [Sam Foster] *
1 [Sarah Weiner]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Lord Weird Slough Feg 65.25%Weakling 13.90%John Cobbett 9.65%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)