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 *
( 400 [13 Going on 30] *
16 [Paula Jean Brown] *
49 [Kathy Baker] *
225 [Mark Ruffalo] *
81 [Andy Serkis] *
64 [Judy Greer] *
1 [Alex Black] *
1 [Alexandra Kyle] *
16 [Christa B. Allen] *
25 [Jennifer Garner] *
36 [Joe Grifasi] *
16 [Kiersten Warren] *
36 [Lynn Collins] *
4 [Marcia DeBonis] *
16 [Mary Pat Gleason] *
25 [Phil Reeves] *
4 [Sam Ball] *
16 [Sean Marquette] *
16 [Susan Egan] *
16 [Brittany Curran]
)
= 7.95 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [13 Going on 30] *
1 [Paula Jean Brown] *
1 [Kathy Baker] *
1 [Mark Ruffalo] *
1 [Andy Serkis] *
1 [Judy Greer] *
1 [Alex Black] *
1 [Alexandra Kyle] *
1 [Christa B. Allen] *
1 [Jennifer Garner] *
1 [Joe Grifasi] *
1 [Kiersten Warren] *
1 [Lynn Collins] *
1 [Marcia DeBonis] *
1 [Mary Pat Gleason] *
1 [Phil Reeves] *
1 [Sam Ball] *
1 [Sean Marquette] *
1 [Susan Egan] *
1 [Brittany Curran]
)
= 1
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)
0.09%
(7.95 × 1025 overall)
Dominant nodes (excluded from chart)13 Going on 30 37.59%Mark Ruffalo 21.15%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
