How to read this network

Pilot demonstration. Faculty names anonymized as “Faculty 1, 2, 3...”; specific universities replaced with training-origin labels (Canadian / American / International). Rank, gender, salary-by-rank, and aggregate statistics are real and preserved — the tool's audit value is in the patterns, not the identifiers.

What this is

A department-level audit tool for a Canadian criminology department. It maps every full-time faculty member by what they research and what they teach — not by their publications.

The two modes

Specialization connects researchers to their topic specializations and thematic categories. Use this to see who studies what, and where the silos are.

Teaching connects researchers to courses they teach, plus the broader themes those courses cover. Use this to see who teaches what, and where the coverage gaps are.

Toggle between the two at the top of the sidebar.

Filters

The network re-draws itself as you toggle these. Stack filters to narrow.

  • Researcher — pin specific people
  • Category — pin specific topic areas
  • Rank — Professor, Assoc. Prof, Asst. Prof, Lecturer
  • Gender
  • Degree Origin — country of highest degree
  • Course Level (Teaching mode only) — 100, 200, 300, etc.

Layers (Teaching mode)

Toggle which connections show:

  • Courses — researcher to individual courses
  • Broad Themes — courses to thematic clusters
  • Detailed Themes — courses to fine-grained topics

Live summary statistics

Update as you filter. Show:

  • Gender split + median number of courses taught
  • Average salary by rank (FY23-24 public data)
  • Origin of highest degree: Canadian / American / international training %

What to look for

  • Silos — clusters of researchers who only connect to a small subset of categories
  • Gaps — categories or course themes with very few connections
  • Hidden patterns — how rank, gender, training origin distribute across the field

Built for

  • Job applicants reading the room before an interview
  • Hiring committees doing gap analysis before the next round
  • Students choosing potential supervisors by topic fit
  • Department leadership auditing their own coverage
  • Anyone wanting to understand a discipline at the unit level
sociologix

Criminology Pilot · Anonymized

Network Mode

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Shows researchers connected to their research specializations and thematic categories.
Show layers:
Courses
Broad
Themes
Detailed
Themes

Filters

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Reset All Filters
Researcher
Category
Rank
Gender
Degree Origin
Course Level
Degree Origin
── All Researchers ──
Tap to toggle selection
── All Categories ──
Tap to toggle selection
── All Ranks ──
Tap to toggle selection
── All Genders ──
── All Levels ──
Filter by course number (100, 200, etc.)
── All Origins ──
Filter by country of highest degree

Search

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Summary

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Researchers: 30
Categories: 16
Expertise Areas: 113
Connections: 126
Med. # Courses Taught: 0
Avg. Salary (FY23-24): $0
all researchers
Percentages based on unique researchers
Female: 0%
Male: 0%
Professor: 0%
Assoc. Prof: 0%
Asst. Prof: 0%
Lecturer: 0%
Origin of Highest Degree
Canadian-trained: 0%
American-trained: 0%
International: 0%

Node Sizing

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Size Nodes By:
Sizes nodes by how many direct connections they have. Example: An expertise with 5 researchers appears larger than one with 2.

Adjust Network View

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Gravity (pull to center) 30%
Link Distance 80
Font Size 100%
Edge Thickness 100%
Edge Style: Curved

Layout Algorithm

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Export

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Data export includes filtered researchers with gender, rank, and affiliations.

Legend

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Email Patrick

~/sociologix mail --compose → pjb@sociologix.ca

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