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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Reel Big Fish] *
1 [Aaron Barrett] *
1 [Adam Polakoff] *
1 [Andrew Gonzales] *
1 [Billy Kottage] *
1 [Brandon Werts] *
1 [Carlos De La Garza] *
4 [Dan Regan] *
1 [Edward Larsen] *
1 [Grant Barry] *
1 [Justin Ferreira] *
1 [Matt Appleton] *
1 [Ben Guzman (2)] *
1 [Derek Gibbs (2)] *
1 [John Christianson (2)] *
1 [Robert Quimby] *
1 [Ryland Steen] *
1 [Scott Klopfenstein] *
1 [Tavis Werts]
)
= 1.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Reel Big Fish] *
1 [Aaron Barrett] *
1 [Adam Polakoff] *
1 [Andrew Gonzales] *
1 [Billy Kottage] *
1 [Brandon Werts] *
1 [Carlos De La Garza] *
1 [Dan Regan] *
1 [Edward Larsen] *
1 [Grant Barry] *
1 [Justin Ferreira] *
1 [Matt Appleton] *
1 [Ben Guzman (2)] *
1 [Derek Gibbs (2)] *
1 [John Christianson (2)] *
1 [Robert Quimby] *
1 [Ryland Steen] *
1 [Scott Klopfenstein] *
1 [Tavis Werts]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Reel Big Fish 94.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)