Network Profile
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Influence Score
33.33%
of network
Direct Connections
1
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 exactly which connected posts are generating the most power for this specific network cluster.
Outbound
1
Tags on post
Inbound
0
Posts tagging this
Base Node Strength
1
Base Node Influence
1
Connected Nodes
2
Network Strength Make-up
This Post (< 0.01%) Dianne van Giersbergen (> 99.99%) EX-LIBRIS (< 0.01%)
Influence Score Make-up
This Post (33.33%) EX-LIBRIS (33.33%) Dianne van Giersbergen (33.33%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Inbound Posts (0)
No other posts link to this one yet.
Last calculated math cycle: Apr 29, 10:06 PM
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Depth: 1 Level
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Depth: 7 Levels
👁️ 11 Views
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Most common related type: band.
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EX-LIBRIS
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