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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [danny deepo] *
1 [Micheál Ó Súilleabháin] *
25 [University of Limerick] *
1 [Applied Languages] *
1 [Criminal Justice] *
121 [Manufacturing and processing] *
1 [Biopharmaceutical Science] *
1 [Culinary and Gastronomic Science] *
1 [Food Innovation] *
1 [Food Science and Management] *
1 [Mechanical and Polymer Engineering] *
1 [Manufacturing Engineering Design] *
1 [Process Instrumentation and Automation Learn and Work] *
1 [Product Design and Technology (portfolio required)] *
1 [Technology and Innovation] *
1 [Timber Product Technology]
)
= 592.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [danny deepo] *
1 [Micheál Ó Súilleabháin] *
1 [University of Limerick] *
1 [Applied Languages] *
1 [Criminal Justice] *
1 [Manufacturing and processing] *
1 [Biopharmaceutical Science] *
1 [Culinary and Gastronomic Science] *
1 [Food Innovation] *
1 [Food Science and Management] *
1 [Mechanical and Polymer Engineering] *
1 [Manufacturing Engineering Design] *
1 [Process Instrumentation and Automation Learn and Work] *
1 [Product Design and Technology (portfolio required)] *
1 [Technology and Innovation] *
1 [Timber Product Technology]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Manufacturing and processing 57.08%danny deepo 23.11%University of Limerick 11.79%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)