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Sukarno
Eka Oniani
Thomas LeBlancUSAIDM. Peter McPhersonWhite House Coronavirus Task Force
Anthony Fauci
Nancy LindborgNIH
Wuhan Institute of Virology

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Analyzing Network Connections...

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Nearest Locations

  • Thumbnail for Anthony Fauci
    Anthony Fauci0.0 km away
  • 📍
    Gain of Function0.0 km away
  • 📍
    Diaolongbei Site167.3 km away
  • 📍
    wuhan223.3 km away
  • 📍
    Wuchang Uprising226.2 km away

Network Profile

Overall Strength
i
5.36% of network
(8.43 × 1015)
Strength Breakdown
  • This Post (5.36%)
  • USAID (6.70%)
  • NIH (6.70%)
  • CNN Newsroom (2.68%)
  • Anthony Fauci (2.01%)
  • White House Coronavirus Task Force (2.01%)
  • Shi Zhengli (2.01%)
  • Coronavirus, Explained (1.34%)
  • Wuhan Institute of Virology (0.89%)
  • World Health Organization (0.45%)
  • Eka Oniani (0.22%)
  • M. Peter McPherson (0.22%)
  • Nancy Lindborg (0.22%)
  • Thomas LeBlanc (0.22%)
  • Marion Koopmans (0.22%)
  • Gerald Durrell (0.22%)
  • Gain of Function (0.22%)
  • User:Lokal Profil/WHO2004 (0.22%)
Dominant nodes (excluded from chart)
Sukarno 27.01%wuhan 26.79%Peter Daszak 14.29%
Influence Score
i
6.98% of network
(1.01)
Influence Breakdown
  • This Post (6.98%)
  • Coronavirus, Explained (6.98%)
  • NIH (5.59%)
  • wuhan (5.59%)
  • Sukarno (4.65%)
  • Eka Oniani (4.65%)
  • M. Peter McPherson (4.65%)
  • Nancy Lindborg (4.65%)
  • Thomas LeBlanc (4.65%)
  • Anthony Fauci (4.65%)
  • White House Coronavirus Task Force (4.65%)
  • Peter Daszak (4.65%)
  • Marion Koopmans (4.65%)
  • Shi Zhengli (4.65%)
  • Wuhan Institute of Virology (4.65%)
  • Gerald Durrell (4.65%)
  • Gain of Function (4.65%)
  • User:Lokal Profil/WHO2004 (4.65%)
  • USAID (3.88%)
  • CNN Newsroom (3.49%)
  • World Health Organization (2.33%)
Direct Connections 10

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, 6) = 6
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 4 = 24
Base_Influence (IV) = $inbound / $outbound = 6 / 4 = 1.5

// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 24 *
                           ( 6 [Coronavirus, Explained] *
                            30 [NIH] *
                            120 [wuhan] *
                            121 [Sukarno] *
                            1 [Eka Oniani] *
                            1 [M. Peter McPherson] *
                            1 [Nancy Lindborg] *
                            1 [Thomas LeBlanc] *
                            9 [Anthony Fauci] *
                            9 [White House Coronavirus Task Force] *
                            64 [Peter Daszak] *
                            1 [Marion Koopmans] *
                            9 [Shi Zhengli] *
                            4 [Wuhan Institute of Virology] *
                            1 [Gerald Durrell] *
                            1 [Gain of Function] *
                            1 [User:Lokal Profil/WHO2004] *
                            30 [USAID] *
                            12 [CNN Newsroom] *
                            2 [World Health Organization]
                           )

                         = 8.43 x 10^15

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.5 *
                           ( 1.5 [Coronavirus, Explained] *
                            1.2 [NIH] *
                            1.2 [wuhan] *
                            1 [Sukarno] *
                            1 [Eka Oniani] *
                            1 [M. Peter McPherson] *
                            1 [Nancy Lindborg] *
                            1 [Thomas LeBlanc] *
                            1 [Anthony Fauci] *
                            1 [White House Coronavirus Task Force] *
                            1 [Peter Daszak] *
                            1 [Marion Koopmans] *
                            1 [Shi Zhengli] *
                            1 [Wuhan Institute of Virology] *
                            1 [Gerald Durrell] *
                            1 [Gain of Function] *
                            1 [User:Lokal Profil/WHO2004] *
                            0.8333 [USAID] *
                            0.75 [CNN Newsroom] *
                            0.5 [World Health Organization]
                           )

                         = 1.01
Outbound 6 Tags on post
Inbound 4 Posts tagging this
Connections 20 Total nodes
Base Node Strength 24
Base Node Influence 1.5
Strength Share (vs Direct Neighbours)
5.36% (8.43 × 1015 overall)
  • This Post (5.36%)
  • USAID (6.70%)
  • NIH (6.70%)
  • CNN Newsroom (2.68%)
  • Anthony Fauci (2.01%)
  • White House Coronavirus Task Force (2.01%)
  • Shi Zhengli (2.01%)
  • Coronavirus, Explained (1.34%)
  • Wuhan Institute of Virology (0.89%)
  • World Health Organization (0.45%)
  • Eka Oniani (0.22%)
  • M. Peter McPherson (0.22%)
  • Nancy Lindborg (0.22%)
  • Thomas LeBlanc (0.22%)
  • Marion Koopmans (0.22%)
  • Gerald Durrell (0.22%)
  • Gain of Function (0.22%)
  • User:Lokal Profil/WHO2004 (0.22%)
Dominant nodes (excluded from chart)
Sukarno 27.01%wuhan 26.79%Peter Daszak 14.29%
Influence Share (vs Direct Neighbours)
6.98% (1.01 overall)
  • This Post (6.98%)
  • Coronavirus, Explained (6.98%)
  • NIH (5.59%)
  • wuhan (5.59%)
  • Sukarno (4.65%)
  • Eka Oniani (4.65%)
  • M. Peter McPherson (4.65%)
  • Nancy Lindborg (4.65%)
  • Thomas LeBlanc (4.65%)
  • Anthony Fauci (4.65%)
  • White House Coronavirus Task Force (4.65%)
  • Peter Daszak (4.65%)
  • Marion Koopmans (4.65%)
  • Shi Zhengli (4.65%)
  • Wuhan Institute of Virology (4.65%)
  • Gerald Durrell (4.65%)
  • Gain of Function (4.65%)
  • User:Lokal Profil/WHO2004 (4.65%)
  • USAID (3.88%)
  • CNN Newsroom (3.49%)
  • World Health Organization (2.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Coronavirus, Explained ↗
Str: 6Inf: 1.5
NIH ↗
Str: 30Inf: 1.2
wuhan ↗
Str: 120Inf: 1.2
Sukarno ↗
Str: 121Inf: 1
Eka Oniani ↗
Str: 1Inf: 1
M. Peter McPherson ↗
Str: 1Inf: 1
Nancy Lindborg ↗
Str: 1Inf: 1
Thomas LeBlanc ↗
Str: 1Inf: 1
Anthony Fauci ↗
Str: 9Inf: 1
White House Coronavirus Task Force ↗
Str: 9Inf: 1
Peter Daszak ↗
Str: 64Inf: 1
Marion Koopmans ↗
Str: 1Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Gerald Durrell ↗
Str: 1Inf: 1
Gain of Function ↗
Str: 1Inf: 1
User:Lokal Profil/WHO2004 ↗
Str: 1Inf: 1
USAID ↗
Str: 30Inf: 0.8333
CNN Newsroom ↗
Str: 12Inf: 0.75
World Health Organization ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
World Health Organization ↗
Str: 2Inf: 0.5
CNN Newsroom ↗
Str: 12Inf: 0.75
USAID ↗
Str: 30Inf: 0.8333
User:Lokal Profil/WHO2004 ↗
Str: 1Inf: 1
Gain of Function ↗
Str: 1Inf: 1
Gerald Durrell ↗
Str: 1Inf: 1
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Marion Koopmans ↗
Str: 1Inf: 1
Peter Daszak ↗
Str: 64Inf: 1
White House Coronavirus Task Force ↗
Str: 9Inf: 1
Anthony Fauci ↗
Str: 9Inf: 1
Thomas LeBlanc ↗
Str: 1Inf: 1
Nancy Lindborg ↗
Str: 1Inf: 1
M. Peter McPherson ↗
Str: 1Inf: 1
Eka Oniani ↗
Str: 1Inf: 1
Sukarno ↗
Str: 121Inf: 1
wuhan ↗
Str: 120Inf: 1.2
NIH ↗
Str: 30Inf: 1.2
Coronavirus, Explained ↗
Str: 6Inf: 1.5

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

Outbound Tags (6)
Anthony Fauci
Gain of Function
Gerald Durrell
Peter Daszak
USAID
BROKEN LINK
World Health Organization
BROKEN LINK
Inbound Posts (4)
Peter Daszak
Anthony Fauci
Gerald Durrell
Gain of Function
Last calculated: Sep 21, 8:13 PM
Hubei, China59

Related Content

Figures

  • Sukarno
  • Gerald Durrell
  • Peter Daszak
  • Eka Oniani
  • Marion Koopmans
  • M. Peter McPherson
  • Shi Zhengli
  • Nancy Lindborg
  • Thomas LeBlanc
  • Anthony Fauci

Locations

  • wuhan
  • Wuhan Institute of Virology

Organisations

  • White House Coronavirus Task Force
  • USAID
  • World Health Organization
  • NIH

Subtopics

  • Gain of Function

Topics

  • User:Lokal Profil/WHO2004
  • CNN Newsroom
  • Coronavirus, Explained