Network Profile
Influence Score
14.63%
of network
(1.6666)
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
5
Strength Share (vs Direct Neighbours)
- This Post (3.81%)
- Dave Ray (46.67%)
- Dinkytown folk music circuit (28.57%)
- "Spider" John Koerner (15.24%)
- Dinkytown (3.81%)
- 1964_yearbook_vol_77_page_28_combo (1.90%)
Influence Share (vs Direct Neighbours)
- This Post (14.63%)
- 1964_yearbook_vol_77_page_28_combo (29.27%)
- Dave Ray (14.63%)
- "Spider" John Koerner (14.63%)
- Dinkytown (14.63%)
- Dinkytown folk music circuit (12.19%)
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 1, 12:36 PM
Analyzing Network Connections...
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Nearest Locations
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Minneapolis, Hennepin County, United States
👁️ 32 Views