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, 7) = 7
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 6 = 42
Base_Influence (IV) = $inbound / $outbound = 7 / 6 = 1.1667
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 42 *
( 120 [University of Toronto] *
1 [Hospitals affiliated with the University of Toronto] *
1 [Munk School of Global Affairs] *
1 [Quadrangles at the University of Toronto] *
1 [Streets of the University of Toronto] *
1 [Student life and culture at the University of Toronto] *
1 [The Calendar of the University of Toronto] *
1 [Toronto Time] *
1 [University of Toronto Schools] *
1 [Institution:University of Toronto] *
1 [Cheng Yu Tung East Asian Library] *
1 [Engineering and Computer Science Library] *
4 [Robarts Library] *
1 [Scans from University of Toronto] *
25 [Thomas Fisher Rare Book Library] *
1 [Institution:Robarts Library] *
1 [Document kept at the Thomas Fisher Rare Book Library] *
1 [Institution:Thomas Fisher Rare Book Library] *
1 [University of Toronto Wenceslas Hollar Digital Collection] *
1 [Women’s Legion files from the University of Toronto]
)
= 504K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1667 *
( 1.2 [University of Toronto] *
1 [Hospitals affiliated with the University of Toronto] *
1 [Munk School of Global Affairs] *
1 [Quadrangles at the University of Toronto] *
1 [Streets of the University of Toronto] *
1 [Student life and culture at the University of Toronto] *
1 [The Calendar of the University of Toronto] *
1 [Toronto Time] *
1 [University of Toronto Schools] *
1 [Institution:University of Toronto] *
1 [Cheng Yu Tung East Asian Library] *
1 [Engineering and Computer Science Library] *
1 [Robarts Library] *
1 [Scans from University of Toronto] *
1 [Thomas Fisher Rare Book Library] *
1 [Institution:Robarts Library] *
1 [Document kept at the Thomas Fisher Rare Book Library] *
1 [Institution:Thomas Fisher Rare Book Library] *
1 [University of Toronto Wenceslas Hollar Digital Collection] *
1 [Women’s Legion files from the University of Toronto]
)
= 1.4
Outbound
7
Tags on post
Inbound
6
Posts tagging this
Connections
20
Total nodes
Base Node Strength
42
Base Node Influence
1.1667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Toronto 57.69%Thomas Fisher Rare Book Library 12.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
John M. Kelly Library
BROKEN LINK