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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 12 [Jon Voight] *
1 [Paul Finlay] *
1 [Will Corr] *
1 [Johnny B. O'Brien] *
16 [Eric Roberts] *
4 [Michael Lee Gogin] *
9 [Edward Bunker] *
25 [T.K. Carter] *
9 [Kyle T. Heffner] *
324 [Runaway Train] *
1 [Dan Wray] *
1 [Dennis Ott] *
16 [John Bloom] *
1 [John Otrin] *
16 [Kenneth McMillan] *
1 [Norman Alexander Gibbs] *
4 [Rebecca De Mornay] *
16 [Reid Cruickshanks] *
1 [John P. Ryan] *
1 [Stacey Pickren] *
1 [Walter Wyatt] *
25 [Tom Everett] *
9 [The Alamo] *
9 [Wesley Lau] *
12 [Red River]
)
= 1.20 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.33 [Jon Voight] *
1 [Paul Finlay] *
1 [Will Corr] *
1 [Johnny B. O'Brien] *
1 [Eric Roberts] *
1 [Michael Lee Gogin] *
1 [Edward Bunker] *
1 [T.K. Carter] *
1 [Kyle T. Heffner] *
1 [Runaway Train] *
1 [Dan Wray] *
1 [Dennis Ott] *
1 [John Bloom] *
1 [John Otrin] *
1 [Kenneth McMillan] *
1 [Norman Alexander Gibbs] *
1 [Rebecca De Mornay] *
1 [Reid Cruickshanks] *
1 [John P. Ryan] *
1 [Stacey Pickren] *
1 [Walter Wyatt] *
1 [Tom Everett] *
1 [The Alamo] *
1 [Wesley Lau] *
0.75 [Red River]
)
= 1.5
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
25
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
1.15%
(1.20 × 1018 overall)
Dominant nodes (excluded from chart)Runaway Train 62.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)