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51 and 52Thomas Moore Chambers, 51 and 52, Carey Street, LondonCarey StreetSerle Street

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Thomas Moore Chambers

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Carey Street0.0 km away
  • Thumbnail for Serle Street, London
    Serle Street, London0.1 km away
  • 📍
    Serle Street0.1 km away
  • 📍
    Royal Courts of Justice0.2 km away
  • 📍
    Middle Temple Gatehouse0.2 km away

Network Profile

Overall Strength
i
4.76% of network
(169.3K)
Strength Breakdown
  • This Post (4.76%)
  • Carey Street (58.33%)
  • Thomas Moore Chambers, 51 and 52, Carey Street, London (19.05%)
  • 51 and 52 (10.71%)
  • Serle Street (7.14%)
Influence Score
i
18.18% of network
(1.5)
Influence Breakdown
  • This Post (18.18%)
  • Serle Street (27.27%)
  • 51 and 52 (18.18%)
  • Carey Street (18.18%)
  • Thomas Moore Chambers, 51 and 52, Carey Street, London (18.18%)
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 *
                           ( 6 [Serle Street] *
                            9 [51 and 52] *
                            49 [Carey Street] *
                            16 [Thomas Moore Chambers, 51 and 52, Carey Street, London]
                           )

                         = 169.3K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.5 [Serle Street] *
                            1 [51 and 52] *
                            1 [Carey Street] *
                            1 [Thomas Moore Chambers, 51 and 52, Carey Street, London]
                           )

                         = 1.5
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)
4.76% (169.3K overall)
  • This Post (4.76%)
  • Carey Street (58.33%)
  • Thomas Moore Chambers, 51 and 52, Carey Street, London (19.05%)
  • 51 and 52 (10.71%)
  • Serle Street (7.14%)
Influence Share (vs Direct Neighbours)
18.18% (1.5 overall)
  • This Post (18.18%)
  • Serle Street (27.27%)
  • 51 and 52 (18.18%)
  • Carey Street (18.18%)
  • Thomas Moore Chambers, 51 and 52, Carey Street, London (18.18%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Serle Street ↗
Str: 6Inf: 1.5
51 and 52 ↗
Str: 9Inf: 1
Carey Street ↗
Str: 49Inf: 1
Thomas Moore Chambers, 51 and 52, Carey Street, London ↗
Str: 16Inf: 1
Weakest Connections (Lowest Multipliers)
Thomas Moore Chambers, 51 and 52, Carey Street, London ↗
Str: 16Inf: 1
Carey Street ↗
Str: 49Inf: 1
51 and 52 ↗
Str: 9Inf: 1
Serle Street ↗
Str: 6Inf: 1.5

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

Outbound Tags (2)
51 and 52
Thomas Moore Chambers, 51 and 52, Carey Street, London
Inbound Posts (2)
Thomas Moore Chambers, 51 and 52, Carey Street, London
51 and 52
Last calculated: Jun 23, 6:24 AM
London, England, United Kingdom17

Related Content

Topics

  • Serle Street
  • 51 and 52
  • Carey Street
  • Thomas Moore Chambers, 51 and 52, Carey Street, London