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Ned Leukhardt
Nervous Gender
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Network Profile
Overall Strength
0.59%
of network
(5.16 × 1016)
Direct Connections
4
Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
14
Strength Share (vs Direct Neighbours)
0.59%
(5.16 × 1016 overall)
- This Post (0.59%)
- Marc Moreland (9.43%)
- Jimmy Michael Giorsetti (2.36%)
- Phranc (2.36%)
- Mary Sims (1.33%)
- Bill Cline (0.59%)
- Bruce Moreland (0.59%)
- Edward Stapleton (0.59%)
- Michael Ochoa (0.59%)
- Sven Pfeiffer (0.59%)
- Chas T. Gray (0.59%)
- Gerardo Velázquez (0.59%)
Dominant nodes (excluded from chart)Nervous Gender 33.14%Paul Roessler 28.87%Brad Laner 17.82%
Influence Share (vs Direct Neighbours)
- This Post (6.67%)
- Paul Roessler (6.67%)
- Jimmy Michael Giorsetti (6.67%)
- Mary Sims (6.67%)
- Nervous Gender (6.67%)
- Bill Cline (6.67%)
- Brad Laner (6.67%)
- Bruce Moreland (6.67%)
- Edward Stapleton (6.67%)
- Marc Moreland (6.67%)
- Michael Ochoa (6.67%)
- Phranc (6.67%)
- Sven Pfeiffer (6.67%)
- Chas T. Gray (6.67%)
- Gerardo Velázquez (6.67%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 4, 2:27 AM
Analyzing Network Connections...
👁️ 19 Views
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