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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 225 [Shai Hulud] *
49 [Ian Edwards] *
196 [Earth Crisis] *
1 [Jim Winters] *
1 [Ben Read] *
1 [Dennis Merrick] *
1 [Erick Edwards] *
1 [Jesse Buckley] *
1 [John Moseman] *
1 [Karl Buechner] *
1 [Michael Riccardi] *
1 [Scott Crouse] *
1 [Benjamin Read] *
1 [Mike Ricardi] *
49 [Brand New Sin] *
1 [Brian Azzoto] *
1 [Chuck Kahl] *
1 [Joe Altier] *
1 [Ken Dunham] *
1 [Tom Matkowski] *
1 [Kevin Dean (3)]
)
= 423.54M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Shai Hulud] *
1 [Ian Edwards] *
1 [Earth Crisis] *
1 [Jim Winters] *
1 [Ben Read] *
1 [Dennis Merrick] *
1 [Erick Edwards] *
1 [Jesse Buckley] *
1 [John Moseman] *
1 [Karl Buechner] *
1 [Michael Riccardi] *
1 [Scott Crouse] *
1 [Benjamin Read] *
1 [Mike Ricardi] *
1 [Brand New Sin] *
1 [Brian Azzoto] *
1 [Chuck Kahl] *
1 [Joe Altier] *
1 [Ken Dunham] *
1 [Tom Matkowski] *
1 [Kevin Dean (3)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Shai Hulud 41.67%Earth Crisis 36.30%Ian Edwards 9.07%Brand New Sin 9.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)