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1773 in the Northern Hemisphere1773 in the Southern HemisphereThomas MelvillMary Hayley

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Related Images

1773

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Trinity Church, Boston
    Trinity Church, Boston0.6 km away
  • 📍
    Boston Massacre0.7 km away
  • 📍
    Old State House0.7 km away
  • 📍
    William Bradbury Ryan0.7 km away
  • 📍
    Chinatown, Boston0.7 km away

Network Profile

Overall Strength
i
60.00% of network
(6)
Strength Breakdown
  • This Post (60.00%)
  • Mary Hayley (10.00%)
  • Thomas Melvill (10.00%)
  • 1773 in the Northern Hemisphere (10.00%)
  • 1773 in the Southern Hemisphere (10.00%)
Influence Score
i
27.27% of network
(1.5)
Influence Breakdown
  • This Post (27.27%)
  • Mary Hayley (18.18%)
  • Thomas Melvill (18.18%)
  • 1773 in the Northern Hemisphere (18.18%)
  • 1773 in the Southern Hemisphere (18.18%)
Direct Connections 5

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 6 *
                           ( 1 [Mary Hayley] *
                            1 [Thomas Melvill] *
                            1 [1773 in the Northern Hemisphere] *
                            1 [1773 in the Southern Hemisphere]
                           )

                         = 6

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.5 *
                           ( 1 [Mary Hayley] *
                            1 [Thomas Melvill] *
                            1 [1773 in the Northern Hemisphere] *
                            1 [1773 in the Southern Hemisphere]
                           )

                         = 1.5
Outbound 3 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 6
Base Node Influence 1.5
Strength Share (vs Direct Neighbours)
60.00% (6 overall)
  • This Post (60.00%)
  • Mary Hayley (10.00%)
  • Thomas Melvill (10.00%)
  • 1773 in the Northern Hemisphere (10.00%)
  • 1773 in the Southern Hemisphere (10.00%)
Influence Share (vs Direct Neighbours)
27.27% (1.5 overall)
  • This Post (27.27%)
  • Mary Hayley (18.18%)
  • Thomas Melvill (18.18%)
  • 1773 in the Northern Hemisphere (18.18%)
  • 1773 in the Southern Hemisphere (18.18%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mary Hayley ↗
Str: 1Inf: 1
Thomas Melvill ↗
Str: 1Inf: 1
1773 in the Northern Hemisphere ↗
Str: 1Inf: 1
1773 in the Southern Hemisphere ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
1773 in the Southern Hemisphere ↗
Str: 1Inf: 1
1773 in the Northern Hemisphere ↗
Str: 1Inf: 1
Thomas Melvill ↗
Str: 1Inf: 1
Mary Hayley ↗
Str: 1Inf: 1

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

Outbound Tags (3)
1773
BROKEN LINK
Mary Hayley
Thomas Melvill
Inbound Posts (2)
Mary Hayley
Thomas Melvill
Last calculated: Jun 15, 12:48 AM
Boston, Suffolk County, United States20

Related Content

Topics

  • Mary Hayley
  • Thomas Melvill
  • 1773 in the Northern Hemisphere
  • 1773 in the Southern Hemisphere