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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Seatrain] *
4 [Richard Greene] *
121 [Peter Rowan] *
4 [Andy Kulberg] *
1 [Bobby Moses] *
1 [Bill Elliott] *
1 [Don Kretmar] *
1 [Elliot Randall] *
1 [Red Shepherd] *
1 [Jim Roberts] *
1 [Julio Coronado] *
1 [Larry Atamanuik] *
4 [Lloyd Baskin] *
1 [Peter Walsh] *
4 [Donald Kretmar] *
1 [Jim Roberts (4)] *
4 [Roy Blumenfeld]
)
= 35.81M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Seatrain] *
1 [Richard Greene] *
1 [Peter Rowan] *
1 [Andy Kulberg] *
1 [Bobby Moses] *
1 [Bill Elliott] *
1 [Don Kretmar] *
1 [Elliot Randall] *
1 [Red Shepherd] *
1 [Jim Roberts] *
1 [Julio Coronado] *
1 [Larry Atamanuik] *
1 [Lloyd Baskin] *
1 [Peter Walsh] *
1 [Donald Kretmar] *
1 [Jim Roberts (4)] *
1 [Roy Blumenfeld]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Seatrain 65.53%Peter Rowan 27.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)