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 27 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 24 [EcoHealth Alliance] *
6 [Coronavirus, Explained] *
6 [Pete Dominick] *
108 [wuhan] *
30 [NIH] *
1 [Marion Koopmans] *
9 [Shi Zhengli] *
4 [Wuhan Institute of Virology] *
9 [Anthony Fauci] *
1 [Gerald Durrell] *
1 [Gain of Function] *
1 [Black and white photographs of Wuhan] *
1 [County-level divisions of Wuhan] *
1 [Unidentified locations in Wuhan] *
1 [Wuhan Botanical Garden] *
1 [Wuhan in Chinese characters] *
1 [Wuhan Zall FC] *
1 [Wuhan Zoo] *
1 [武汉三镇之景] *
9 [Ralph Steven Baric] *
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 [Explained] *
16 [Sheryl Sandberg] *
12 [CNN Newsroom] *
24 [Peter King]
)
= 2.41 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [EcoHealth Alliance] *
1.5 [Coronavirus, Explained] *
1.5 [Pete Dominick] *
1.33 [wuhan] *
1.2 [NIH] *
1 [Marion Koopmans] *
1 [Shi Zhengli] *
1 [Wuhan Institute of Virology] *
1 [Anthony Fauci] *
1 [Gerald Durrell] *
1 [Gain of Function] *
1 [Black and white photographs of Wuhan] *
1 [County-level divisions of Wuhan] *
1 [Unidentified locations in Wuhan] *
1 [Wuhan Botanical Garden] *
1 [Wuhan in Chinese characters] *
1 [Wuhan Zall FC] *
1 [Wuhan Zoo] *
1 [武汉三镇之景] *
1 [Ralph Steven Baric] *
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 [Explained] *
1 [Sheryl Sandberg] *
0.75 [CNN Newsroom] *
0.6667 [Peter King]
)
= 2.7
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
27
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
19.05%
(2.41 × 1015 overall)
Dominant nodes (excluded from chart)wuhan 32.14%NIH 8.93%EcoHealth Alliance 7.14%Peter King 7.14%Sheryl Sandberg 4.76%CNN Newsroom 3.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
