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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 196 [Chromatics] *
1 [Adam Miller] *
16 [Maxamillion Avila] *
49 [Com Truise] *
1 [Johnny Jewel] *
1 [Nat Walker] *
1 [Ruth Radelet] *
4 [Adam Miller (4)] *
4 [Devin Welch] *
4 [John Padgett] *
1 [Lena Okazaki] *
1 [Michelle Nolan (2)] *
1 [Nat Sahlstrom] *
1 [Nat Walker (2)] *
1 [Shoplifting] *
16 [Soiled Doves] *
4 [The Gossip] *
4 [The Vogue (3)] *
9 [Vade] *
36 [Johnny Whitney] *
9 [Beth Ditto] *
9 [Jordan Blilie]
)
= 2.38 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chromatics] *
1 [Adam Miller] *
1 [Maxamillion Avila] *
1 [Com Truise] *
1 [Johnny Jewel] *
1 [Nat Walker] *
1 [Ruth Radelet] *
1 [Adam Miller (4)] *
1 [Devin Welch] *
1 [John Padgett] *
1 [Lena Okazaki] *
1 [Michelle Nolan (2)] *
1 [Nat Sahlstrom] *
1 [Nat Walker (2)] *
1 [Shoplifting] *
1 [Soiled Doves] *
1 [The Gossip] *
1 [The Vogue (3)] *
1 [Vade] *
1 [Johnny Whitney] *
1 [Beth Ditto] *
1 [Jordan Blilie]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
22
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
8.89%
(2.38 × 1015 overall)
Dominant nodes (excluded from chart)Chromatics 48.40%Com Truise 12.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
