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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 36 [Adam Steffey] *
1 [Aaron Ramsey] *
1 [Barry Abernathy (2)] *
1 [Clay Jones (2)] *
1 [Jason Moore (11)] *
1 [Jeff Partin] *
1 [Jim VanCleve] *
1 [Josh Shilling] *
1 [Molly Cherryholmes] *
1 [Seth Taylor (2)] *
1 [Steve Gulley] *
25 [Alison Krauss & Union Station] *
49 [Alison Krauss and Union Station] *
1 [The Isaacs] *
1 [Highland Travelers] *
1 [The Boxcars (2)]
)
= 5.34M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Adam Steffey] *
1 [Aaron Ramsey] *
1 [Barry Abernathy (2)] *
1 [Clay Jones (2)] *
1 [Jason Moore (11)] *
1 [Jeff Partin] *
1 [Jim VanCleve] *
1 [Josh Shilling] *
1 [Molly Cherryholmes] *
1 [Seth Taylor (2)] *
1 [Steve Gulley] *
1 [Alison Krauss & Union Station] *
1 [Alison Krauss and Union Station] *
1 [The Isaacs] *
1 [Highland Travelers] *
1 [The Boxcars (2)]
)
= 1
Outbound
11
Tags on post
Inbound
11
Posts tagging this
Connections
16
Total nodes
Base Node Strength
121
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Alison Krauss and Union Station 20.08%Adam Steffey 14.75%Alison Krauss & Union Station 10.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)