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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 24 [EcoHealth Alliance] *
30 [NIH] *
9 [White House Coronavirus Task Force] *
64 [Peter Daszak] *
1 [Gerald Durrell] *
1 [Gain of Function] *
1 [PD US NIH] *
1 [US National Archives Record Group 443: Records of the National Institutes of Health] *
1 [US National Archives Record Group 443: Records of the National Institutes of Health, 1912 - 2006] *
1 [Ken Cuccinelli] *
1 [Matthew Pottinger]
)
= 3.73M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [EcoHealth Alliance] *
1.2 [NIH] *
1 [White House Coronavirus Task Force] *
1 [Peter Daszak] *
1 [Gerald Durrell] *
1 [Gain of Function] *
1 [PD US NIH] *
1 [US National Archives Record Group 443: Records of the National Institutes of Health] *
1 [US National Archives Record Group 443: Records of the National Institutes of Health, 1912 - 2006] *
1 [Ken Cuccinelli] *
1 [Matthew Pottinger]
)
= 1.8
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
11
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Peter Daszak 44.76%NIH 20.98%EcoHealth Alliance 16.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
