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, 12) = 12
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 8 = 96
Base_Influence (IV) = $inbound / $outbound = 12 / 8 = 1.5
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 96 *
( 2 [Duke University Pratt School of Engineering] *
2 [Duke University people] *
1 [Duke University Marine Laboratory] *
1 [Duke University schools] *
1 [Publications of Duke University] *
1 [Student organizations of Duke University] *
1 [Triangle Universities Nuclear Laboratory] *
1 [ROTC, Duke University]
)
= 384
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2 [Duke University Pratt School of Engineering] *
2 [Duke University people] *
1 [Duke University Marine Laboratory] *
1 [Duke University schools] *
1 [Publications of Duke University] *
1 [Student organizations of Duke University] *
1 [Triangle Universities Nuclear Laboratory] *
1 [ROTC, Duke University]
)
= 6
Outbound
12
Tags on post
Inbound
8
Posts tagging this
Connections
8
Total nodes
Base Node Strength
96
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Duke University athletics
BROKEN LINKDuke University campus
BROKEN LINKDuke University Health System
BROKEN LINKDuke University Libraries
BROKEN LINK
