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Alexander (37)
Stigmatic Chorus
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Network Profile
Overall Strength
2.48%
of network
(126.88M)
Direct Connections
4
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.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 10 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
126.88M
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
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 (2.48%)
- Alex (52) (2.48%)
- ÐлаР́ ÐÐ1⁄2 (2.48%)
- Belf (2.48%)
- Denis (46) (2.48%)
- Emily A. Saaen (2.48%)
- Kali (38) (2.48%)
- Mefisto (8) (2.48%)
- Sergey (15) (2.48%)
- Vladimir (18) (2.48%)
Dominant nodes (excluded from chart)Stigmatic Chorus 75.16%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- Stigmatic Chorus (9.09%)
- Alex (52) (9.09%)
- ÐлаР́ ÐÐ1⁄2 (9.09%)
- Belf (9.09%)
- Denis (46) (9.09%)
- Emily A. Saaen (9.09%)
- Kali (38) (9.09%)
- Mefisto (8) (9.09%)
- Sergey (15) (9.09%)
- Vladimir (18) (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 5, 5:51 AM
Analyzing Network Connections...
👁️ 12 Views