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Bloomberg Tower

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Michael Bloomberg

Analyzing Network Connections...

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Nearest Locations

  • 📍
    CBS Studio Building0.6 km away
  • 📍
    General Electric Building0.6 km away
  • 📍
    NBA Store0.7 km away
  • 📍
    Central Park Zoo0.7 km away
  • 📍
    Gapstow Bridge0.7 km away

Network Profile

Overall Strength
i
2.08% of network
(42)
Strength Breakdown
  • This Post (2.08%)
  • Bloomberg Terminal (2.08%)
  • Bloomberg BNA building (2.08%)
  • bloomberg technology (2.08%)
  • data terminals (2.08%)
  • financial data (2.08%)
Dominant nodes (excluded from chart)
Bloomberg L.P. 87.50%
Influence Score
i
13.95% of network
(1.17)
Influence Breakdown
  • This Post (13.95%)
  • Bloomberg L.P. (16.28%)
  • Bloomberg Terminal (13.95%)
  • Bloomberg BNA building (13.95%)
  • bloomberg technology (13.95%)
  • data terminals (13.95%)
  • financial data (13.95%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 42 [Bloomberg L.P.] *
                            1 [Bloomberg Terminal] *
                            1 [Bloomberg BNA building] *
                            1 [bloomberg technology] *
                            1 [data terminals] *
                            1 [financial data]
                           )

                         = 42

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Bloomberg L.P.] *
                            1 [Bloomberg Terminal] *
                            1 [Bloomberg BNA building] *
                            1 [bloomberg technology] *
                            1 [data terminals] *
                            1 [financial data]
                           )

                         = 1.17
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.08% (42 overall)
  • This Post (2.08%)
  • Bloomberg Terminal (2.08%)
  • Bloomberg BNA building (2.08%)
  • bloomberg technology (2.08%)
  • data terminals (2.08%)
  • financial data (2.08%)
Dominant nodes (excluded from chart)
Bloomberg L.P. 87.50%
Influence Share (vs Direct Neighbours)
13.95% (1.17 overall)
  • This Post (13.95%)
  • Bloomberg L.P. (16.28%)
  • Bloomberg Terminal (13.95%)
  • Bloomberg BNA building (13.95%)
  • bloomberg technology (13.95%)
  • data terminals (13.95%)
  • financial data (13.95%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bloomberg L.P. ↗
Str: 42Inf: 1.17
Bloomberg Terminal ↗
Str: 1Inf: 1
Bloomberg BNA building ↗
Str: 1Inf: 1
bloomberg technology ↗
Str: 1Inf: 1
data terminals ↗
Str: 1Inf: 1
financial data ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
financial data ↗
Str: 1Inf: 1
data terminals ↗
Str: 1Inf: 1
bloomberg technology ↗
Str: 1Inf: 1
Bloomberg BNA building ↗
Str: 1Inf: 1
Bloomberg Terminal ↗
Str: 1Inf: 1
Bloomberg L.P. ↗
Str: 42Inf: 1.17

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

Outbound Tags (1)
Bloomberg L.P.
Inbound Posts (1)
Bloomberg L.P.
Last calculated: Oct 15, 12:22 PM
New York, New York County, United States19

Related Content

Topics

  • Bloomberg BNA building
  • bloomberg technology
  • data terminals
  • financial data
  • Bloomberg Terminal
  • Bloomberg L.P.

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