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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 42 [Williamstown] *
72 [Williams College] *
1 [Edward Dorr Griffin] *
1 [Harry Augustus Garfield] *
1 [Henry Eugene Davies] *
4 [Henry Loomis Nelson] *
1 [Paul A. Chadbourne] *
1 [Richard Austin Rice] *
9 [Institution:Williams College Museum of Art, Williamstown] *
1 [Thomas Krens] *
1 [Institution:Williams College Museum of Art]
)
= 1.31M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 1.17 [Williamstown] *
1.13 [Williams College] *
1 [Edward Dorr Griffin] *
1 [Harry Augustus Garfield] *
1 [Henry Eugene Davies] *
1 [Henry Loomis Nelson] *
1 [Paul A. Chadbourne] *
1 [Richard Austin Rice] *
1 [Institution:Williams College Museum of Art, Williamstown] *
1 [Thomas Krens] *
1 [Institution:Williams College Museum of Art]
)
= 1.75
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
11
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Williams College 49.32%Williamstown 28.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Paintings in the Williams College Museum of Art
BROKEN LINK