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 *
( 20 [Jordan Ladd] *
25 [M.C. Gainey] *
16 [Bill Paxton] *
361 [Club Dread] *
4 [Lindsay Price] *
1 [Brittany Daniel] *
16 [Erik Stolhanske] *
1 [Greg Cipes] *
4 [Jay Chandrasekhar] *
1 [Julio Bekhor] *
16 [Kevin Heffernan] *
4 [Michael Weaver] *
16 [Michael Yurchak] *
1 [Nat Faxon] *
4 [Paul Soter] *
1 [Dan Montgomery Jr.] *
1 [Richard Perello] *
4 [Steve Lemme] *
1 [Tanja Reichert]
)
= 12.11T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Jordan Ladd] *
1 [M.C. Gainey] *
1 [Bill Paxton] *
1 [Club Dread] *
1 [Lindsay Price] *
1 [Brittany Daniel] *
1 [Erik Stolhanske] *
1 [Greg Cipes] *
1 [Jay Chandrasekhar] *
1 [Julio Bekhor] *
1 [Kevin Heffernan] *
1 [Michael Weaver] *
1 [Michael Yurchak] *
1 [Nat Faxon] *
1 [Paul Soter] *
1 [Dan Montgomery Jr.] *
1 [Richard Perello] *
1 [Steve Lemme] *
1 [Tanja Reichert]
)
= 1.25
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)Club Dread 72.49%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)