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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 196 [Chromatics] *
16 [Maxamillion Avila] *
49 [Com Truise] *
1 [Johnny Jewel] *
1 [Nat Walker] *
1 [Ruth Radelet] *
4 [Adam Miller (4)] *
4 [Devin Welch] *
36 [Hannah Blilie] *
4 [John Padgett] *
1 [Lena Okazaki] *
1 [Michelle Nolan (2)] *
1 [Nat Sahlstrom] *
1 [Nat Walker (2)]
)
= 354.04M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chromatics] *
1 [Maxamillion Avila] *
1 [Com Truise] *
1 [Johnny Jewel] *
1 [Nat Walker] *
1 [Ruth Radelet] *
1 [Adam Miller (4)] *
1 [Devin Welch] *
1 [Hannah Blilie] *
1 [John Padgett] *
1 [Lena Okazaki] *
1 [Michelle Nolan (2)] *
1 [Nat Sahlstrom] *
1 [Nat Walker (2)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Chromatics 61.83%Com Truise 15.46%Hannah Blilie 11.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
