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
4
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
16
Base Node Influence
1
Connected Nodes
5
Strength Share (vs Direct Neighbours)
- This Post (35.56%)
- 2013-07-17 (20.00%)
- Closing of 2013 Summer Universiade (17.78%)
- fc-rubin-kazan (13.33%)
- Gurban Berdiýew (8.89%)
- Opening of 2013 Summer Universiade (4.44%)
Influence Share (vs Direct Neighbours)
- This Post (11.76%)
- Closing of 2013 Summer Universiade (23.53%)
- Opening of 2013 Summer Universiade (23.53%)
- fc-rubin-kazan (17.65%)
- 2013-07-17 (11.76%)
- Gurban Berdiýew (11.76%)
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 (4)
No other posts link to this one yet.
Last calculated math cycle: May 3, 6:17 AM
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Nearest Locations

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Kazan, городской округ Казань, Russia
👁️ 14 Views