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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Robert Bailey Jr.] *
400 [For All Mankind] *
4 [Sarah Jones] *
25 [Endre Hules] *
49 [Edi Gathegi] *
9 [Joel Kinnaman] *
9 [Dan Donohue] *
1 [Cynthy Wu] *
1 [Goran Ivanovski] *
1 [Jodi Balfour] *
1 [Krys Marshall] *
1 [Meghan Leathers] *
1 [Michael Dorman] *
1 [Nate Corddry] *
1 [Noah Harpster] *
1 [Casey W. Johnson] *
4 [Shantel VanSanten] *
1 [Sonya Walger] *
1 [Wrenn Schmidt] *
1 [Coral Peña]
)
= 1.27B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Robert Bailey Jr.] *
1 [For All Mankind] *
1 [Sarah Jones] *
1 [Endre Hules] *
1 [Edi Gathegi] *
1 [Joel Kinnaman] *
1 [Dan Donohue] *
1 [Cynthy Wu] *
1 [Goran Ivanovski] *
1 [Jodi Balfour] *
1 [Krys Marshall] *
1 [Meghan Leathers] *
1 [Michael Dorman] *
1 [Nate Corddry] *
1 [Noah Harpster] *
1 [Casey W. Johnson] *
1 [Shantel VanSanten] *
1 [Sonya Walger] *
1 [Wrenn Schmidt] *
1 [Coral Peña]
)
= 2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)For All Mankind 77.67%Edi Gathegi 9.51%Endre Hules 4.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)