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Record W2339162830 · doi:10.1177/1059601115608027

A Two-Wave Study of Self-Monitoring Personality, Social Network Churn, and In-Degree Centrality in Close Friendship and General Socializing Networks

2015· article· en· W2339162830 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGroup & Organization Management · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOpinion Dynamics and Social Influence
Canadian institutionsWestern UniversityToronto Metropolitan UniversityUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsCentralityFriendshipPersonalitySocial network (sociolinguistics)PsychologySocial network analysisSocial psychologyHomophilyComputer scienceSociologySocial capital

Abstract

fetched live from OpenAlex

We examine the role of self-monitoring personality in shaping network change in two important types of social relationships. In a two-wave social network study, we find that individuals with higher levels of self-monitoring derive persistent personality-linked in-degree centrality benefits in the general socializing network but have fading benefits over time in the close friendship network. Simultaneous examination of the formation and dissolution of relationships over time (network churn) reveals that this pattern of network change is shaped by differential reactions of relationship partners to individuals based upon level of self-monitoring in the two network types. Overall, by incorporating the dynamic reactions of relationship partners, the findings contribute to the understanding of the complex relationship between personality and social network development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.282
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it