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World Health Organization
Bangor University
1726

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.87% of network
(33.02T)
Strength Breakdown
  • This Post (3.87%)
  • Peter King (7.74%)
  • NIH (7.74%)
  • Sheryl Sandberg (5.16%)
  • EcoHealth Alliance (4.84%)
  • Shi Zhengli (2.90%)
  • Coronavirus, Explained (1.94%)
  • Pete Dominick (1.94%)
  • Wuhan Institute of Virology (1.29%)
  • Peter King, 1st Baron King (0.65%)
  • ABC World News Tonight with David Muir (0.32%)
  • MSNBC Live (0.32%)
  • Stossel (0.32%)
  • Fox Report with Jon Scott (0.32%)
  • Lean In (0.32%)
  • Poetry in America with Elisa New (0.32%)
  • The Daily (0.32%)
  • Marion Koopmans (0.32%)
Dominant nodes (excluded from chart)
wuhan 38.71%Peter Daszak 20.65%
Influence Score
i
3.29% of network
(6.75)
Influence Breakdown
  • This Post (3.29%)
  • Peter King, 1st Baron King (8.78%)
  • EcoHealth Alliance (7.32%)
  • NIH (6.58%)
  • Coronavirus, Explained (6.58%)
  • Pete Dominick (6.58%)
  • wuhan (5.27%)
  • ABC World News Tonight with David Muir (4.39%)
  • MSNBC Live (4.39%)
  • Stossel (4.39%)
  • Fox Report with Jon Scott (4.39%)
  • Sheryl Sandberg (4.39%)
  • Lean In (4.39%)
  • Poetry in America with Elisa New (4.39%)
  • The Daily (4.39%)
  • Peter Daszak (4.39%)
  • Marion Koopmans (4.39%)
  • Shi Zhengli (4.39%)
  • Wuhan Institute of Virology (4.39%)
  • Peter King (2.93%)
Direct Connections 7

Node & Network Details

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, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 4 = 12
Base_Influence (IV) = $inbound / $outbound = 3 / 4 = 0.75

// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 12 *
                           ( 2 [Peter King, 1st Baron King] *
                            15 [EcoHealth Alliance] *
                            24 [NIH] *
                            6 [Coronavirus, Explained] *
                            6 [Pete Dominick] *
                            120 [wuhan] *
                            1 [ABC World News Tonight with David Muir] *
                            1 [MSNBC Live] *
                            1 [Stossel] *
                            1 [Fox Report with Jon Scott] *
                            16 [Sheryl Sandberg] *
                            1 [Lean In] *
                            1 [Poetry in America with Elisa New] *
                            1 [The Daily] *
                            64 [Peter Daszak] *
                            1 [Marion Koopmans] *
                            9 [Shi Zhengli] *
                            4 [Wuhan Institute of Virology] *
                            24 [Peter King]
                           )

                         = 33.02T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.75 *
                           ( 2 [Peter King, 1st Baron King] *
                            1.67 [EcoHealth Alliance] *
                            1.5 [NIH] *
                            1.5 [Coronavirus, Explained] *
                            1.5 [Pete Dominick] *
                            1.2 [wuhan] *
                            1 [ABC World News Tonight with David Muir] *
                            1 [MSNBC Live] *
                            1 [Stossel] *
                            1 [Fox Report with Jon Scott] *
                            1 [Sheryl Sandberg] *
                            1 [Lean In] *
                            1 [Poetry in America with Elisa New] *
                            1 [The Daily] *
                            1 [Peter Daszak] *
                            1 [Marion Koopmans] *
                            1 [Shi Zhengli] *
                            1 [Wuhan Institute of Virology] *
                            0.6667 [Peter King]
                           )

                         = 6.75
Outbound 3 Tags on post
Inbound 4 Posts tagging this
Connections 19 Total nodes
Base Node Strength 12
Base Node Influence 0.75
Strength Share (vs Direct Neighbours)
3.87% (33.02T overall)
  • This Post (3.87%)
  • Peter King (7.74%)
  • NIH (7.74%)
  • Sheryl Sandberg (5.16%)
  • EcoHealth Alliance (4.84%)
  • Shi Zhengli (2.90%)
  • Coronavirus, Explained (1.94%)
  • Pete Dominick (1.94%)
  • Wuhan Institute of Virology (1.29%)
  • Peter King, 1st Baron King (0.65%)
  • ABC World News Tonight with David Muir (0.32%)
  • MSNBC Live (0.32%)
  • Stossel (0.32%)
  • Fox Report with Jon Scott (0.32%)
  • Lean In (0.32%)
  • Poetry in America with Elisa New (0.32%)
  • The Daily (0.32%)
  • Marion Koopmans (0.32%)
Dominant nodes (excluded from chart)
wuhan 38.71%Peter Daszak 20.65%
Influence Share (vs Direct Neighbours)
3.29% (6.75 overall)
  • This Post (3.29%)
  • Peter King, 1st Baron King (8.78%)
  • EcoHealth Alliance (7.32%)
  • NIH (6.58%)
  • Coronavirus, Explained (6.58%)
  • Pete Dominick (6.58%)
  • wuhan (5.27%)
  • ABC World News Tonight with David Muir (4.39%)
  • MSNBC Live (4.39%)
  • Stossel (4.39%)
  • Fox Report with Jon Scott (4.39%)
  • Sheryl Sandberg (4.39%)
  • Lean In (4.39%)
  • Poetry in America with Elisa New (4.39%)
  • The Daily (4.39%)
  • Peter Daszak (4.39%)
  • Marion Koopmans (4.39%)
  • Shi Zhengli (4.39%)
  • Wuhan Institute of Virology (4.39%)
  • Peter King (2.93%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peter King, 1st Baron King ↗
Str: 2Inf: 2
EcoHealth Alliance ↗
Str: 15Inf: 1.67
NIH ↗
Str: 24Inf: 1.5
Coronavirus, Explained ↗
Str: 6Inf: 1.5
Pete Dominick ↗
Str: 6Inf: 1.5
wuhan ↗
Str: 120Inf: 1.2
ABC World News Tonight with David Muir ↗
Str: 1Inf: 1
MSNBC Live ↗
Str: 1Inf: 1
Stossel ↗
Str: 1Inf: 1
Fox Report with Jon Scott ↗
Str: 1Inf: 1
Sheryl Sandberg ↗
Str: 16Inf: 1
Lean In ↗
Str: 1Inf: 1
Poetry in America with Elisa New ↗
Str: 1Inf: 1
The Daily ↗
Str: 1Inf: 1
Peter Daszak ↗
Str: 64Inf: 1
Marion Koopmans ↗
Str: 1Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Peter King ↗
Str: 24Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Peter King ↗
Str: 24Inf: 0.6667
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Marion Koopmans ↗
Str: 1Inf: 1
Peter Daszak ↗
Str: 64Inf: 1
The Daily ↗
Str: 1Inf: 1
Poetry in America with Elisa New ↗
Str: 1Inf: 1
Lean In ↗
Str: 1Inf: 1
Sheryl Sandberg ↗
Str: 16Inf: 1
Fox Report with Jon Scott ↗
Str: 1Inf: 1
Stossel ↗
Str: 1Inf: 1
MSNBC Live ↗
Str: 1Inf: 1
ABC World News Tonight with David Muir ↗
Str: 1Inf: 1
wuhan ↗
Str: 120Inf: 1.2
Pete Dominick ↗
Str: 6Inf: 1.5
Coronavirus, Explained ↗
Str: 6Inf: 1.5
NIH ↗
Str: 24Inf: 1.5
EcoHealth Alliance ↗
Str: 15Inf: 1.67
Peter King, 1st Baron King ↗
Str: 2Inf: 2

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (3)
Peter Daszak
Peter King
Sheryl Sandberg
Inbound Posts (4)
Pete Dominick
BROKEN LINK
Peter Daszak
Peter King
Sheryl Sandberg
Last calculated: Jun 16, 8:22 PM
23

Related Content

Figures

  • Peter King
  • Peter Daszak
  • Pete Dominick
  • Marion Koopmans
  • Sheryl Sandberg
  • Shi Zhengli

Locations

  • Wuhan Institute of Virology
  • NIH
  • wuhan

Organisations

  • EcoHealth Alliance

Topics

  • Poetry in America with Elisa New
  • Peter King, 1st Baron King
  • The Daily
  • Coronavirus, Explained
  • ABC World News Tonight with David Muir
  • MSNBC Live
  • Stossel
  • Fox Report with Jon Scott
  • Lean In