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
7
Tags on post
Inbound
7
Posts tagging this
Base Node Strength
49
Base Node Influence
1
Connected Nodes
7
Strength Share (vs Direct Neighbours)
- This Post (59.76%)
- Franz Miklosich (10.98%)
- Advertisements at Miklošič Street (4.88%)
- Events at Miklošičeva cesta (4.88%)
- Miklošič Pharmacy (4.88%)
- Miklošič Street at night (4.88%)
- Shops at Miklošič Street (4.88%)
- Bust of Franc Miklošič in the Arkadenhof, University Vienna (4.88%)
Influence Share (vs Direct Neighbours)
- This Post (12.50%)
- Franz Miklosich (12.50%)
- Advertisements at Miklošič Street (12.50%)
- Events at Miklošičeva cesta (12.50%)
- Miklošič Pharmacy (12.50%)
- Miklošič Street at night (12.50%)
- Shops at Miklošič Street (12.50%)
- Bust of Franc Miklošič in the Arkadenhof, University Vienna (12.50%)
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: Apr 30, 11:02 PM
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