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
13
Tags on post
Inbound
13
Posts tagging this
Base Node Strength
169
Base Node Influence
1
Connected Nodes
14
Strength Share (vs Direct Neighbours)
- This Post (57.29%)
- Bill Steinway (3.05%)
- Mike Jones (3.05%)
- Andrew Kapner (1.36%)
- Brian O'Neal (1.36%)
- Gus Louderman (1.36%)
- Jorge Evans (1.36%)
- Kenny Tomlin (1.36%)
- Kevin O'Neal (1.36%)
- Marc Palmer (1.36%)
- Reggie Leon (1.36%)
- Steve Felix (1.36%)
- Vic Johnson (1.36%)
- Groove Legacy (1.36%)
Dominant nodes (excluded from chart)Voice of the Beehive 21.69%
Influence Share (vs Direct Neighbours)
- This Post (6.67%)
- Voice of the Beehive (6.67%)
- Andrew Kapner (6.67%)
- Bill Steinway (6.67%)
- Brian O'Neal (6.67%)
- Gus Louderman (6.67%)
- Jorge Evans (6.67%)
- Kenny Tomlin (6.67%)
- Kevin O'Neal (6.67%)
- Marc Palmer (6.67%)
- Mike Jones (6.67%)
- Reggie Leon (6.67%)
- Steve Felix (6.67%)
- Vic Johnson (6.67%)
- Groove Legacy (6.67%)
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 3, 9:09 PM
Analyzing Network Connections...
Montgomery County, United States
👁️ 39 Views
Related Content
No related content found.