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, 6) = 6
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 5 = 30
Base_Influence (IV) = $inbound / $outbound = 6 / 5 = 1.2
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 2 [Department of Engineering Science, University of Oxford] *
4 [Department of Computer Science, University of Oxford] *
4 [Department of Earth Sciences, University of Oxford] *
16 [Department of Physics, University of Oxford] *
1 [Sir William Dunn School of Pathology] *
1 [Department of Chemistry] *
4 [Dyson Perrins Laboratory plaque, Oxford] *
1 [Department of Computer Science] *
1 [Department of Earth Sciences] *
9 [Department of Physics] *
4 [Clarendon Laboratory] *
4 [Denys Wilkinson Building] *
6 [Department of Chemistry, University of Oxford]
)
= 53.08M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2 *
( 2 [Department of Engineering Science, University of Oxford] *
1 [Department of Computer Science, University of Oxford] *
1 [Department of Earth Sciences, University of Oxford] *
1 [Department of Physics, University of Oxford] *
1 [Sir William Dunn School of Pathology] *
1 [Department of Chemistry] *
1 [Dyson Perrins Laboratory plaque, Oxford] *
1 [Department of Computer Science] *
1 [Department of Earth Sciences] *
1 [Department of Physics] *
1 [Clarendon Laboratory] *
1 [Denys Wilkinson Building] *
0.6667 [Department of Chemistry, University of Oxford]
)
= 1.6
Outbound
6
Tags on post
Inbound
5
Posts tagging this
Connections
13
Total nodes
Base Node Strength
30
Base Node Influence
1.2
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)