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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [Chai-Town] *
1 [David Kinley] *
1 [Illinois Verse] *
1 [Media contributed by University of Illinois Urbana-Champaign University Library] *
1 [Midwestern Robotics Design Competition] *
1 [The Daily Illini] *
1 [The Illio] *
1 [UIUC Arboretum] *
1 [Willard Airport] *
1 [Plaques in the University of Illinois at Urbana–Champaign]
)
= 100
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Chai-Town] *
1 [David Kinley] *
1 [Illinois Verse] *
1 [Media contributed by University of Illinois Urbana-Champaign University Library] *
1 [Midwestern Robotics Design Competition] *
1 [The Daily Illini] *
1 [The Illio] *
1 [UIUC Arboretum] *
1 [Willard Airport] *
1 [Plaques in the University of Illinois at Urbana–Champaign]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
10
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)