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Sean CollierMassachusetts Institute of Technology Police Department

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Massachusetts Institute of Technology

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Related Images

Faculty of the Massachusetts Institute of Technology
MIT campus
Massachusetts Institute of Technology athletics
MIT licenses
HackMIT
ROFLCon
International Genetically Engineered Machine

Connected Bands/Artists

  • Massachusetts Institute of Technology Police Department

Connected Musicians

  • Sean Collier

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Margaret Fuller House0.5 km away
  • Thumbnail for Technology Square
    Technology Square1.0 km away
  • Thumbnail for MIT campus
    MIT campus1.1 km away
  • 📍
    Harvard Art Museums1.3 km away
  • Thumbnail for Harvard Bridge
    Harvard Bridge1.3 km away

Network Profile

Overall Strength
i
72.73% of network
(16)
Strength Breakdown
  • This Post (72.73%)
  • Massachusetts Institute of Technology Police Department (18.18%)
  • Sean Collier (9.09%)
Influence Score
i
84.21% of network
(4)
Influence Breakdown
  • This Post (84.21%)
  • Sean Collier (10.53%)
  • Massachusetts Institute of Technology Police Department (5.26%)
Direct Connections 8

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, 8) = 8
$outbound = max(1, 0) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 1 = 8
Base_Influence (IV) = $inbound / $outbound = 8 / 1 = 8

// 3. Exponential Network Values (accumulating 2 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 8 *
                           ( 1 [Sean Collier] *
                            2 [Massachusetts Institute of Technology Police Department]
                           )

                         = 16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 8 *
                           ( 1 [Sean Collier] *
                            0.5 [Massachusetts Institute of Technology Police Department]
                           )

                         = 4
Outbound 8 Tags on post
Inbound 0 Posts tagging this
Connections 2 Total nodes
Base Node Strength 8
Base Node Influence 8
Strength Share (vs Direct Neighbours)
72.73% (16 overall)
  • This Post (72.73%)
  • Massachusetts Institute of Technology Police Department (18.18%)
  • Sean Collier (9.09%)
Influence Share (vs Direct Neighbours)
84.21% (4 overall)
  • This Post (84.21%)
  • Sean Collier (10.53%)
  • Massachusetts Institute of Technology Police Department (5.26%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Sean Collier ↗
Str: 1Inf: 1
Massachusetts Institute of Technology Police Department ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Massachusetts Institute of Technology Police Department ↗
Str: 2Inf: 0.5
Sean Collier ↗
Str: 1Inf: 1

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

Outbound Tags (8)
Faculty of the Massachusetts Institute of Technology
BROKEN LINK
HackMIT
BROKEN LINK
International Genetically Engineered Machine
BROKEN LINK
Massachusetts Institute of Technology athletics
BROKEN LINK
Massachusetts Institute of Technology Police Department
BROKEN LINK
MIT campus
BROKEN LINK
MIT licenses
BROKEN LINK
ROFLCon
BROKEN LINK
Inbound Posts (0)
No other posts link to this one yet.
Last calculated: Sep 27, 12:54 AM
Cambridge, Middlesex County, United States35

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