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
8
Tags on post
Inbound
8
Posts tagging this
Base Node Strength
64
Base Node Influence
1
Connected Nodes
7
Strength Share (vs Direct Neighbours)
- This Post (69.57%)
- ROTC, Kennesaw State University (4.35%)
- Betty Siegel (4.35%)
- Bradley S. James (4.35%)
- Kennesaw Hall (4.35%)
- Kennesaw State University athletics (4.35%)
- Kennesaw State University Marietta Campus (4.35%)
- KSU Convocation Center (4.35%)
Influence Share (vs Direct Neighbours)
- This Post (12.50%)
- ROTC, Kennesaw State University (12.50%)
- Betty Siegel (12.50%)
- Bradley S. James (12.50%)
- Kennesaw Hall (12.50%)
- Kennesaw State University athletics (12.50%)
- Kennesaw State University Marietta Campus (12.50%)
- KSU Convocation Center (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: May 2, 12:30 AM
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Nearest Locations
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Cobb County, United States
👁️ 11 Views