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, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 12 = 144
Base_Influence (IV) = $inbound / $outbound = 12 / 12 = 1
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 12 [University of Cambridge] *
1 [Departments of the University of Cambridge] *
1 [Christ's College, Cambridge] *
1 [King's College, Cambridge] *
1 [Queens' College, Cambridge] *
1 [St Catharine's College, Cambridge] *
1 [St Edmund's College, Cambridge] *
1 [St John's College, Cambridge]
)
= 1.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 12 [University of Cambridge] *
1 [Departments of the University of Cambridge] *
1 [Christ's College, Cambridge] *
1 [King's College, Cambridge] *
1 [Queens' College, Cambridge] *
1 [St Catharine's College, Cambridge] *
1 [St Edmund's College, Cambridge] *
1 [St John's College, Cambridge]
)
= 12
Outbound
12
Tags on post
Inbound
12
Posts tagging this
Connections
8
Total nodes
Base Node Strength
144
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Cambridge 7.36%
Influence Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Cambridge 60.00%
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Darwin College, Cambridge
BROKEN LINKFitzwilliam College, Cambridge
BROKEN LINKHalls of Colleges of Cambridge University
BROKEN LINKRobinson College, Cambridge
BROKEN LINK
No other posts link to this one yet.
