Network Profile
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Influence Score
15.79%
of network
Direct Connections
6
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
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
4
Strength Share (vs Direct Neighbours)
This Post (39.13%) Gamla vattentornet, Linköping (17.39%) Katedralskolan (17.39%) Linköping (13.04%) Axel Brunskog (13.04%)
Influence Share (vs Direct Neighbours)
This Post (15.79%) Axel Brunskog (47.37%) Gamla vattentornet, Linköping (15.79%) Katedralskolan (15.79%) Linköping (5.26%)
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, 11:51 AM
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Analyzing Network Connections...
Most Relevant
Most Integral
Depth: 1 Level
Depth: 2 Levels
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Depth: 4 Levels
Depth: 5 Levels
Depth: 6 Levels
Depth: 7 Levels
Nearest Locations 📍
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Linköping, Östergötland County, Sweden
👁️ 12 Views