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Wuhan Institute of Virology
Shi Zhengli
Peter Daszak
The University of North CarolinaDepartment of Microbiology and Immunology

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Analyzing Network Connections...

Network Profile

Overall Strength
i
10.23% of network
(20.7K)
Strength Breakdown
  • This Post (10.23%)
  • Shi Zhengli (10.23%)
  • Wuhan Institute of Virology (4.55%)
  • Department of Microbiology and Immunology (1.14%)
  • The University of North Carolina (1.14%)
Dominant nodes (excluded from chart)
Peter Daszak 72.73%
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Peter Daszak (16.67%)
  • Shi Zhengli (16.67%)
  • Wuhan Institute of Virology (16.67%)
  • Department of Microbiology and Immunology (16.67%)
  • The University of North Carolina (16.67%)
Direct Connections 6

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, 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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 64 [Peter Daszak] *
                            9 [Shi Zhengli] *
                            4 [Wuhan Institute of Virology] *
                            1 [Department of Microbiology and Immunology] *
                            1 [The University of North Carolina]
                           )

                         = 20.7K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Peter Daszak] *
                            1 [Shi Zhengli] *
                            1 [Wuhan Institute of Virology] *
                            1 [Department of Microbiology and Immunology] *
                            1 [The University of North Carolina]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 5 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
10.23% (20.7K overall)
  • This Post (10.23%)
  • Shi Zhengli (10.23%)
  • Wuhan Institute of Virology (4.55%)
  • Department of Microbiology and Immunology (1.14%)
  • The University of North Carolina (1.14%)
Dominant nodes (excluded from chart)
Peter Daszak 72.73%
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Peter Daszak (16.67%)
  • Shi Zhengli (16.67%)
  • Wuhan Institute of Virology (16.67%)
  • Department of Microbiology and Immunology (16.67%)
  • The University of North Carolina (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peter Daszak ↗
Str: 64Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Department of Microbiology and Immunology ↗
Str: 1Inf: 1
The University of North Carolina ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The University of North Carolina ↗
Str: 1Inf: 1
Department of Microbiology and Immunology ↗
Str: 1Inf: 1
Wuhan Institute of Virology ↗
Str: 4Inf: 1
Shi Zhengli ↗
Str: 9Inf: 1
Peter Daszak ↗
Str: 64Inf: 1

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

Outbound Tags (3)
Department of Microbiology and Immunology
Shi Zhengli
The University of North Carolina
Inbound Posts (3)
Shi Zhengli
Department of Microbiology and Immunology
The University of North Carolina
Last calculated: Nov 7, 8:10 PM
21

Related Content

Figures

  • Peter Daszak
  • Shi Zhengli

Locations

  • Wuhan Institute of Virology

Topics

  • Department of Microbiology and Immunology
  • The University of North Carolina

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