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 *
( 289 [Robben Ford] *
256 [Little Feat] *
9 [Bill Payne] *
25 [Lowell George] *
16 [Roy Estrada] *
9 [Fred Tackett] *
9 [Kenny Gradney] *
9 [Paul Barrere] *
4 [Richie Hayward] *
9 [Sam Clayton] *
9 [Craig Fuller] *
4 [Gabe Ford] *
1 [Shaun Murphy] *
4 [Scott Sharrard] *
1 [Gabriel Ford] *
1 [Phil Brown (2)] *
25 [Ollabelle] *
9 [Byron Isaacs] *
4 [Amy Helm] *
1 [Fiona McBain] *
1 [Glenn Patscha]
)
= 3.62 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Robben Ford] *
1 [Little Feat] *
1 [Bill Payne] *
1 [Lowell George] *
1 [Roy Estrada] *
1 [Fred Tackett] *
1 [Kenny Gradney] *
1 [Paul Barrere] *
1 [Richie Hayward] *
1 [Sam Clayton] *
1 [Craig Fuller] *
1 [Gabe Ford] *
1 [Shaun Murphy] *
1 [Scott Sharrard] *
1 [Gabriel Ford] *
1 [Phil Brown (2)] *
1 [Ollabelle] *
1 [Byron Isaacs] *
1 [Amy Helm] *
1 [Fiona McBain] *
1 [Glenn Patscha]
)
= 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)
0.57%
(3.62 × 1018 overall)
Dominant nodes (excluded from chart)Robben Ford 41.34%Little Feat 36.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)