Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Ollie MatsonGross pathology of chronic traumatic encephalopathyBennet OmaluEpidemiology of traumatic brain injuriesChronic traumatic encephalopathyGross pathology of traumatic brain injuries

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 6 hours ago
Comments: 0

Eileen Lally
Last login: 2 weeks ago
Comments: 0

Özkan Konu
Last login: 1 month ago
Comments: 0

Anne Marie Bevan
Last login: 1 month ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Traumatic brain injury

Loading Graph...
Press Spacebar to toggle layout
Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook

Keep Muso free

Muso is built by one person, for the love of it. no investors — just your support.

€10
Covers an hour of research
Most popular
€25
Keeps the archive running
€50
Funds a full week of work
✎ Enter my own amount
€5
per month · cancel any time

You'll confirm the amount on the next screen

Donate €25 →
Secure checkout via Stripe  ·  No account needed

Analyzing Network Connections...

Network Profile

Overall Strength
i
31.03% of network
(135)
Strength Breakdown
  • This Post (31.03%)
  • Epidemiology of traumatic brain injuries (3.45%)
  • Gross pathology of traumatic brain injuries (3.45%)
  • Bennet Omalu (3.45%)
  • Gross pathology of chronic traumatic encephalopathy (3.45%)
  • Ollie Matson (3.45%)
Dominant nodes (excluded from chart)
Chronic traumatic encephalopathy 51.72%
Influence Score
i
13.04% of network
(1.67)
Influence Breakdown
  • This Post (13.04%)
  • Chronic traumatic encephalopathy (21.74%)
  • Epidemiology of traumatic brain injuries (13.04%)
  • Gross pathology of traumatic brain injuries (13.04%)
  • Bennet Omalu (13.04%)
  • Gross pathology of chronic traumatic encephalopathy (13.04%)
  • Ollie Matson (13.04%)
Direct Connections 6

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 15 [Chronic traumatic encephalopathy] *
                            1 [Epidemiology of traumatic brain injuries] *
                            1 [Gross pathology of traumatic brain injuries] *
                            1 [Bennet Omalu] *
                            1 [Gross pathology of chronic traumatic encephalopathy] *
                            1 [Ollie Matson]
                           )

                         = 135

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.67 [Chronic traumatic encephalopathy] *
                            1 [Epidemiology of traumatic brain injuries] *
                            1 [Gross pathology of traumatic brain injuries] *
                            1 [Bennet Omalu] *
                            1 [Gross pathology of chronic traumatic encephalopathy] *
                            1 [Ollie Matson]
                           )

                         = 1.67
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 6 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
31.03% (135 overall)
  • This Post (31.03%)
  • Epidemiology of traumatic brain injuries (3.45%)
  • Gross pathology of traumatic brain injuries (3.45%)
  • Bennet Omalu (3.45%)
  • Gross pathology of chronic traumatic encephalopathy (3.45%)
  • Ollie Matson (3.45%)
Dominant nodes (excluded from chart)
Chronic traumatic encephalopathy 51.72%
Influence Share (vs Direct Neighbours)
13.04% (1.67 overall)
  • This Post (13.04%)
  • Chronic traumatic encephalopathy (21.74%)
  • Epidemiology of traumatic brain injuries (13.04%)
  • Gross pathology of traumatic brain injuries (13.04%)
  • Bennet Omalu (13.04%)
  • Gross pathology of chronic traumatic encephalopathy (13.04%)
  • Ollie Matson (13.04%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Chronic traumatic encephalopathy ↗
Str: 15Inf: 1.67
Epidemiology of traumatic brain injuries ↗
Str: 1Inf: 1
Gross pathology of traumatic brain injuries ↗
Str: 1Inf: 1
Bennet Omalu ↗
Str: 1Inf: 1
Gross pathology of chronic traumatic encephalopathy ↗
Str: 1Inf: 1
Ollie Matson ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Ollie Matson ↗
Str: 1Inf: 1
Gross pathology of chronic traumatic encephalopathy ↗
Str: 1Inf: 1
Bennet Omalu ↗
Str: 1Inf: 1
Gross pathology of traumatic brain injuries ↗
Str: 1Inf: 1
Epidemiology of traumatic brain injuries ↗
Str: 1Inf: 1
Chronic traumatic encephalopathy ↗
Str: 15Inf: 1.67

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (3)
Chronic traumatic encephalopathy
BROKEN LINK
Epidemiology of traumatic brain injuries
BROKEN LINK
Gross pathology of traumatic brain injuries
BROKEN LINK
Inbound Posts (3)
No other posts link to this one yet.
Last calculated: Jun 22, 11:08 PM
24

Related Content

Topics

  • Epidemiology of traumatic brain injuries
  • Gross pathology of traumatic brain injuries
  • Chronic traumatic encephalopathy
  • Bennet Omalu
  • Gross pathology of chronic traumatic encephalopathy
  • Ollie Matson