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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 169 [Paul Roessler] *
196 [45 Grave] *
16 [Frank Agnew] *
16 [Georg Ruthenberg] *
4 [Bruce Duff] *
4 [Paul B. Cutler] *
16 [Rob Ritter] *
1 [Alex Gibson] *
1 [Brandden Blackwell] *
1 [Del Hopkins] *
9 [Jimmy Michael Giorsetti] *
49 [Lisa Pifer] *
4 [Mary Sims] *
1 [Tom Coyne (2)]
)
= 3.83T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paul Roessler] *
1 [45 Grave] *
1 [Frank Agnew] *
1 [Georg Ruthenberg] *
1 [Bruce Duff] *
1 [Paul B. Cutler] *
1 [Rob Ritter] *
1 [Alex Gibson] *
1 [Brandden Blackwell] *
1 [Del Hopkins] *
1 [Jimmy Michael Giorsetti] *
1 [Lisa Pifer] *
1 [Mary Sims] *
1 [Tom Coyne (2)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)45 Grave 40.16%Paul Roessler 34.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)