Completely Different

A Russian trace in the psychometric argument clinic.

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Tiers

Architect Auditor Practitioner

Edges

Citations Coauthors

School lens

Node size

Bootstrap shaker

Snap weak ties Stability cutoff 0.65 Edges below the cutoff dissolve; isolated nodes turn to dust.

Argument Clinic Ballot

Which lens explains the map better?

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Methods & validation

Python: weighted PageRank, HITS, eigenvector, Dijkstra closeness, weighted Brandes betweenness.

Amsterdam lens: qgraph::qgraph + qgraph::centrality_auto; bootnet-style edge shaker.

Christensen lens: NetworkToolbox::strength, participation, stable, hybrid and smallworldness.

Revelle room: psych::principal over author-feature centralities.

UvA feature-GGM: BDgraph::bdgraph.mpl over derived metrics, not raw author ties.

Virginia lens: EGA-style communities and school affinity; EGAnet package pending heavier R build.

Neutral referee: igraph::page_rank, authority_score, hub_score, strength, betweenness, closeness.

Distance ruler: Psychometric Erdős numbers are shortest paths on the undirected coauthor subgraph. A finite large number means a long chain; ∞ means the path is absent from this snapshot, not absent from real life.

Limitations: bibliometric metadata come from one OpenAlex snapshot plus a bounded snowball expansion. Citation counts and h-index values are approximate graph annotations, not official CV or Google Scholar records.

Interpretation: this is a playful measurement cabinet, not a final ranking. Signed psych factor scores are standardized within this graph slice; negative means below the slice mean, not negative scholarly value.