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Analyzing Network Connections...

Network Profile

Overall Strength
i
3.85% of network
(262.1K)
Strength Breakdown
  • This Post (3.85%)
  • Peabody Institute (61.54%)
  • Johns Hopkins University (15.38%)
  • Johns Hopkins (15.38%)
  • Duncan S. Johnson (3.85%)
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Peabody Institute (20.00%)
  • Johns Hopkins University (20.00%)
  • Duncan S. Johnson (20.00%)
  • Johns Hopkins (20.00%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 64 [Peabody Institute] *
                            16 [Johns Hopkins University] *
                            4 [Duncan S. Johnson] *
                            16 [Johns Hopkins]
                           )

                         = 262.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Peabody Institute] *
                            1 [Johns Hopkins University] *
                            1 [Duncan S. Johnson] *
                            1 [Johns Hopkins]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.85% (262.1K overall)
  • This Post (3.85%)
  • Peabody Institute (61.54%)
  • Johns Hopkins University (15.38%)
  • Johns Hopkins (15.38%)
  • Duncan S. Johnson (3.85%)
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Peabody Institute (20.00%)
  • Johns Hopkins University (20.00%)
  • Duncan S. Johnson (20.00%)
  • Johns Hopkins (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peabody Institute ↗
Str: 64Inf: 1
Johns Hopkins University ↗
Str: 16Inf: 1
Duncan S. Johnson ↗
Str: 4Inf: 1
Johns Hopkins ↗
Str: 16Inf: 1
Weakest Connections (Lowest Multipliers)
Johns Hopkins ↗
Str: 16Inf: 1
Duncan S. Johnson ↗
Str: 4Inf: 1
Johns Hopkins University ↗
Str: 16Inf: 1
Peabody Institute ↗
Str: 64Inf: 1

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

Outbound Tags (2)
Johns Hopkins
Johns Hopkins University
Inbound Posts (2)
Johns Hopkins University
Johns Hopkins
Last calculated: Sep 4, 11:09 PM
37

Related Content

Educations

  • Peabody Institute
  • Johns Hopkins University

Figures

  • Duncan S. Johnson
  • Johns Hopkins