SNA Research News

Read the relationships behind the results.

A reviewed collection of journal and conference articles that use social network analysis as a substantive data analysis approach.

All article types Journal article Conference paper

33 articles

Page 5 / 6

Photograph of a medical student receiving supervisor guidance, with peers, family, and friends connected through subtle ego-network rings

Journal article2020Open access

Journal article 20

How medical students reshape support networks during the transition to clerkships

Anique Atherley, Laura Nimmon, Pim Teunissen, Diana Dolmans, Iman Hegazi, Wendy Hu

Medical Education

Eight medical students drew ego-network maps within two weeks of starting clerkships and again four months later, then explained the changes in interviews. Their combined alters shifted from 128 to 134 as students deliberately created, retained, and dissolved ties for emotional and instrumental support.

Ego networksClerkship transitionStudent support

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Three student-network representations comparing multigraph, weighted, and simplified ties

Journal article2020Open access

Journal article 03

Capturing the participation and social dimensions of computer-supported collaborative learning through social network analysis: which method and measures matter?

Mohammed Saqr, Olga Viberg, Henriikka Vartiainen

International Journal of Computer-Supported Collaborative Learning

Across 12 university-course iterations, the study showed that network construction choices affect the robustness of centrality measures, with multigraph degree measures most consistent for participation and performance.

CSCLNetwork measurementReproducibility

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Photograph of university students collaborating at physics lab tables, with network lines and checkpoint lights across the classroom

Journal article2019Open access

Journal article 19

Linking engagement and performance through longitudinal physics classroom networks

Eric A. Williams, Justyna P. Zwolak, Remy Dou, Eric Brewe

Physical Review Physics Education Research

Longitudinal interaction surveys in a two-semester Modeling Instruction physics sequence tracked classroom networks at four exam points per term. Three of four centrality measures predicted later performance after prior GPA controls, and closeness added up to 28 percent explained variance as the community developed.

Physics educationLongitudinal networksCentrality

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Photograph of trainee doctors consulting across hospital team huddles, with colored advice paths spanning the corridor

Journal article2019Open access

Journal article 18

How rotating trainee-doctor networks support different kinds of workplace learning

Fiona Sullivan, Reema Saatchi, Ibrahim Younis, Matthew Harris

BMJ Open

Across five rotational hospital teams over 24 months, 39 trainee doctors completed network surveys and a separate set of 15 trainees were interviewed. Advice and emulation ties differed across clinical-technical, patient-centered, and work-organization learning, showing that one generic network misses domain-specific pathways.

Workplace learningMedical trainingMultiplex advice

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Photograph of medical students discussing cases in several small tutorial groups, with subtle directional interaction lines

Journal article2019Open access

Journal article 17

Online problem-based learning interaction networks and medical student performance

Mohammed Saqr, Hani Alamro

BMC Medical Education

A study of 135 students and 15 tutors across 15 problem-based learning groups analyzed 2,620 online interactions, 89 percent of them student-to-student. Out-degree and tutor interaction had small positive correlations with performance, showing useful relational signals without supporting causal ranking.

Medical educationOnline interactionProblem-based learning

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Photograph of medical students in hybrid problem-based learning groups, with four network overlays leading to an uncertainty display

Journal article2018Open access

Journal article 16

Using online problem-based learning networks to understand and predict performance

Mohammed Saqr, Uno Fors, Jalal Nouri

PLOS ONE

Across four online problem-based learning courses, interaction networks were linked with grades through correlations and regression, then checked on the next year's course data. Denser group interaction, cohesion, and ties to prominent peers were associated with performance, and a classifier reported 93.3 percent accuracy.

Online PBLPerformance predictionLearning networks

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