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Most common related type: musician.
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American Music Club
Bruce Kaphan
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Network Profile
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)
- This Post (1.07%)
- Mark Eitzel (9.65%)
- Tom Mallon (2.41%)
- Lisa Davis (2.41%)
- Dana Schechter (2.41%)
- Danny Pearson (1.07%)
- Vudi (1.07%)
- Brad Johnson (2) (1.07%)
- Daniel Pearson (1.07%)
- Jonathan Heine (1.07%)
- Marc Capelle (1.07%)
- Mark Pankler (1.07%)
- Matt Norelli (1.07%)
Dominant nodes (excluded from chart)American Music Club 60.32%Tim Mooney 13.14%
Influence Share (vs Direct Neighbours)
- This Post (6.67%)
- American Music Club (6.67%)
- Tim Mooney (6.67%)
- Tom Mallon (6.67%)
- Mark Eitzel (6.67%)
- Lisa Davis (6.67%)
- Danny Pearson (6.67%)
- Vudi (6.67%)
- Dana Schechter (6.67%)
- Brad Johnson (2) (6.67%)
- Daniel Pearson (6.67%)
- Jonathan Heine (6.67%)
- Marc Capelle (6.67%)
- Mark Pankler (6.67%)
- Matt Norelli (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 2, 11:04 PM
Analyzing Network Connections...
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