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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 120 [University of Toronto] *
42 [University of Toronto libraries] *
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]
)
= 504K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [University of Toronto] *
1.17 [University of Toronto libraries] *
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]
)
= 1.4
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
7
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Toronto 61.54%University of Toronto libraries 21.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
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