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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 26 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 2 [Memorial Building] *
2 [Memorial Building, Bangor University] *
15 [EcoHealth Alliance] *
24 [NIH] *
6 [Coronavirus, Explained] *
120 [wuhan] *
64 [Peter Daszak] *
1 [Marion Koopmans] *
9 [Shi Zhengli] *
4 [Wuhan Institute of Virology] *
1 [Bangor University, main building] *
16 [main building] *
9 [David Crystal] *
1 [The Cambridge Encyclopedia of Language] *
1 [The Cambridge Encyclopedia of the English Language] *
1 [The Story of English in 100 Words] *
1 [K. S. Manilal] *
1 [Neuadd Reichel] *
1 [People associated with Bangor University] *
4 [The Bounty] *
25 [John Sessions] *
36 [The Good Shepherd] *
361 [Spitting Image] *
1 [Stella Street] *
9 [The Merchant of Venice] *
12 [CNN Newsroom]
)
= 3.09 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Memorial Building] *
2 [Memorial Building, Bangor University] *
1.67 [EcoHealth Alliance] *
1.5 [NIH] *
1.5 [Coronavirus, Explained] *
1.2 [wuhan] *
1 [Peter Daszak] *
1 [Marion Koopmans] *
1 [Shi Zhengli] *
1 [Wuhan Institute of Virology] *
1 [Bangor University, main building] *
1 [main building] *
1 [David Crystal] *
1 [The Cambridge Encyclopedia of Language] *
1 [The Cambridge Encyclopedia of the English Language] *
1 [The Story of English in 100 Words] *
1 [K. S. Manilal] *
1 [Neuadd Reichel] *
1 [People associated with Bangor University] *
1 [The Bounty] *
1 [John Sessions] *
1 [The Good Shepherd] *
1 [Spitting Image] *
1 [Stella Street] *
1 [The Merchant of Venice] *
0.75 [CNN Newsroom]
)
= 13.5
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
26
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
8.09%
(3.09 × 1021 overall)
Dominant nodes (excluded from chart)Spitting Image 45.64%wuhan 15.17%Peter Daszak 8.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
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