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Node & Network Strength Details
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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
10
Strength Share (vs Direct Neighbours)
This Post (1.97%) William Heerlein Lindley (12.32%) William Lindley (12.32%) Rapid sand filters in Warsaw (1.97%) Reliefs in Lindley Filter Station in Warsaw (1.97%) Slow sand filters in Warsaw (1.97%) Monumental horse-chestnut in Warsaw filtre station (1.97%) Museum of Water and Sewer Systems in Warsaw (1.97%) Water towers of Filtry Lindleya (1.97%) Former boiler house of Lindley's Filter Station (1.97%)
Dominant nodes (excluded from chart) Filtry Lindleya 59.61%
Influence Share (vs Direct Neighbours)
This Post (9.09%) William Heerlein Lindley (9.09%) William Lindley (9.09%) Filtry Lindleya (9.09%) Rapid sand filters in Warsaw (9.09%) Reliefs in Lindley Filter Station in Warsaw (9.09%) Slow sand filters in Warsaw (9.09%) Monumental horse-chestnut in Warsaw filtre station (9.09%) Museum of Water and Sewer Systems in Warsaw (9.09%) Water towers of Filtry Lindleya (9.09%) Former boiler house of Lindley's Filter Station (9.09%)
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, 9:58 PM
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Warsaw, Masovian Voivodeship, Poland
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