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Michael Daves
Noam Pikelny
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Network Profile
Influence Score
10.34%
of network
(0.6667)
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
9
Strength Share (vs Direct Neighbours)
- This Post (0.84%)
- Punch Brothers (3.37%)
- Tim O'Brien (1.89%)
- Bryan Sutton (1.26%)
- Crooked Still (0.84%)
- Abigail Washburn (0.84%)
- Sarah Jarosz (0.84%)
- Stuart Duncan (0.84%)
Dominant nodes (excluded from chart)Leftover Salmon 68.21%Noam Pikelny 21.05%
Influence Share (vs Direct Neighbours)
- This Post (10.34%)
- Leftover Salmon (10.34%)
- Noam Pikelny (10.34%)
- Tim O'Brien (10.34%)
- Crooked Still (10.34%)
- Abigail Washburn (10.34%)
- Punch Brothers (10.34%)
- Sarah Jarosz (10.34%)
- Stuart Duncan (10.34%)
- Bryan Sutton (6.90%)
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, 7:06 AM
Analyzing Network Connections...
👁️ 29 Views
Related Content
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