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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Randy Oglesby] *
30 [James Greene] *
256 [Philip Seymour Hoffman] *
9 [Barry Shabaka Henley] *
9 [Harold Gould] *
25 [Bob Gunton] *
324 [Patch Adams] *
4 [Frances Lee McCain] *
9 [Monica Potter] *
1 [Bruce Bohne] *
1 [Daniel London] *
4 [Daniella Kuhn] *
16 [Harry Groener] *
4 [Harve Presnell] *
1 [Josef Sommer] *
36 [Michael Jeter] *
4 [Peter Coyote] *
1 [Irma P. Hall]
)
= 1.34 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Randy Oglesby] *
1.2 [James Greene] *
1 [Philip Seymour Hoffman] *
1 [Barry Shabaka Henley] *
1 [Harold Gould] *
1 [Bob Gunton] *
1 [Patch Adams] *
1 [Frances Lee McCain] *
1 [Monica Potter] *
1 [Bruce Bohne] *
1 [Daniel London] *
1 [Daniella Kuhn] *
1 [Harry Groener] *
1 [Harve Presnell] *
1 [Josef Sommer] *
1 [Michael Jeter] *
1 [Peter Coyote] *
1 [Irma P. Hall]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(1.34 × 1017 overall)
Dominant nodes (excluded from chart)Patch Adams 42.91%Philip Seymour Hoffman 33.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)