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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 441 [D.I.] *
4 [Mar 13 1990 D.I.] *
4 [Casey Royer] *
1 [John Bosco] *
4 [Rikk Agnew] *
16 [Derek O'Brien] *
1 [Alfie Agnew] *
4 [Dan Colburn] *
1 [Steve Roberts (4)] *
49 [Lisa Pifer] *
4 [Eddie Tatar] *
1 [CHCKN] *
1 [Clinton Calton] *
1 [Frederic Taccone] *
1 [Greg Jones (41)] *
1 [John "Bosco" Calabro] *
1 [John Knight (2)] *
1 [Mark Cerneka] *
1 [Sean Elliot] *
1 [Steve Garcia (2)] *
1 [Steve Lyen]
)
= 354.04M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [D.I.] *
1 [Mar 13 1990 D.I.] *
1 [Casey Royer] *
1 [John Bosco] *
1 [Rikk Agnew] *
1 [Derek O'Brien] *
1 [Alfie Agnew] *
1 [Dan Colburn] *
1 [Steve Roberts (4)] *
1 [Lisa Pifer] *
1 [Eddie Tatar] *
1 [CHCKN] *
1 [Clinton Calton] *
1 [Frederic Taccone] *
1 [Greg Jones (41)] *
1 [John "Bosco" Calabro] *
1 [John Knight (2)] *
1 [Mark Cerneka] *
1 [Sean Elliot] *
1 [Steve Garcia (2)] *
1 [Steve Lyen]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)D.I. 81.67%Lisa Pifer 9.07%Derek O'Brien 2.96%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)