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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 4 [Sean Woods] *
4 [Sean Rosenthal] *
4 [Alex Rodriguez (2)] *
1 [Jeff Myer (2)] *
1 [Justin Isham] *
1 [Michael Anastasi] *
1 [Mike Longworth] *
1 [Paul Malinowski] *
1 [Paxton Pryor] *
196 [Canvas Wagon] *
324 [Throwdown] *
36 [Saosin]
)
= 11.85B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sean Woods] *
1 [Sean Rosenthal] *
1 [Alex Rodriguez (2)] *
1 [Jeff Myer (2)] *
1 [Justin Isham] *
1 [Michael Anastasi] *
1 [Mike Longworth] *
1 [Paul Malinowski] *
1 [Paxton Pryor] *
1 [Canvas Wagon] *
1 [Throwdown] *
1 [Saosin]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Throwdown 49.47%Canvas Wagon 29.92%Saosin 5.50%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)