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Health Promotion AdministrationWang Pi-shengTaipei Office, Health Promotion Administration, Ministry of Health and WelfareTaiwan Women's Center

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Ministry of Health and Welfare

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Health Promotion Administration, Ministry of Health and Welfare

Analyzing Network Connections...

Network Profile

Overall Strength
i
46.15% of network
(24)
Strength Breakdown
  • This Post (46.15%)
  • Health Promotion Administration (30.77%)
  • Taiwan Women's Center (7.69%)
  • Wang Pi-sheng (7.69%)
  • Taipei Office, Health Promotion Administration, Ministry of Health and Welfare (7.69%)
Influence Score
i
27.27% of network
(1.5)
Influence Breakdown
  • This Post (27.27%)
  • Taiwan Women's Center (18.18%)
  • Wang Pi-sheng (18.18%)
  • Health Promotion Administration (18.18%)
  • Taipei Office, Health Promotion Administration, Ministry of Health and Welfare (18.18%)
Direct Connections 5

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 6 *
                           ( 1 [Taiwan Women's Center] *
                            1 [Wang Pi-sheng] *
                            4 [Health Promotion Administration] *
                            1 [Taipei Office, Health Promotion Administration, Ministry of Health and Welfare]
                           )

                         = 24

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.5 *
                           ( 1 [Taiwan Women's Center] *
                            1 [Wang Pi-sheng] *
                            1 [Health Promotion Administration] *
                            1 [Taipei Office, Health Promotion Administration, Ministry of Health and Welfare]
                           )

                         = 1.5
Outbound 3 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 6
Base Node Influence 1.5
Strength Share (vs Direct Neighbours)
46.15% (24 overall)
  • This Post (46.15%)
  • Health Promotion Administration (30.77%)
  • Taiwan Women's Center (7.69%)
  • Wang Pi-sheng (7.69%)
  • Taipei Office, Health Promotion Administration, Ministry of Health and Welfare (7.69%)
Influence Share (vs Direct Neighbours)
27.27% (1.5 overall)
  • This Post (27.27%)
  • Taiwan Women's Center (18.18%)
  • Wang Pi-sheng (18.18%)
  • Health Promotion Administration (18.18%)
  • Taipei Office, Health Promotion Administration, Ministry of Health and Welfare (18.18%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Taiwan Women's Center ↗
Str: 1Inf: 1
Wang Pi-sheng ↗
Str: 1Inf: 1
Health Promotion Administration ↗
Str: 4Inf: 1
Taipei Office, Health Promotion Administration, Ministry of Health and Welfare ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Taipei Office, Health Promotion Administration, Ministry of Health and Welfare ↗
Str: 1Inf: 1
Health Promotion Administration ↗
Str: 4Inf: 1
Wang Pi-sheng ↗
Str: 1Inf: 1
Taiwan Women's Center ↗
Str: 1Inf: 1

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

Outbound Tags (3)
Health Promotion Administration
Taiwan Women's Center
Wang Pi-sheng
BROKEN LINK
Inbound Posts (2)
Health Promotion Administration
Taiwan Women's Center
Last calculated: Jul 30, 6:50 PM
22

Related Content

Figures

  • Wang Pi-sheng

Topics

  • Taiwan Women's Center
  • Health Promotion Administration
  • Taipei Office, Health Promotion Administration, Ministry of Health and Welfare