2026-11-26 –, MacCallum Room
Egocentric network data are often elicited rather than directly observed. Name generators and alter-level questions require participants to define boundaries, retrieve alters, retain an expanding list and, where local structure is collected, assess a rapidly increasing number of possible alter–alter ties. These demands intensify when interviews are multilingual, interpreter-mediated, ethically sensitive, conducted in domestic settings and embedded in longer qualitative encounters. Participant-aided sociograms may reduce some of this burden, but they are often described mainly as engagement tools. Less attention has been paid to how they transform the production, observability and interpretability of network evidence.
This paper develops and evaluates a qualitative-led mixed-methods protocol centred on a low-technology, participant-aided target sociogram. It asks: how do participant-aided sociograms transform egocentric network elicitation under high-constraint field conditions, and what are the implications for data quality, boundary specification and interpretation? The five-stage protocol combines: (1) an ethically permissive contextual opening; (2) affective and hypothetical exchange name generators; (3) question-wise composition measures; (4) participant placement and movement of alters across four perceived-closeness rings; and (5) participant mapping of salient alter–alter ties and clusters, followed by qualitative probing.
The protocol was piloted and applied in 17 interview sessions with 23 Arabic-speaking refugees in England, including 10 sessions mediated by a trained Arabic–English telephone interpreter. The methodological evaluation integrates transcripts and field notes, photographed sociograms, documented additions and repositioning of alters, case-by-case audits of maps against node and edge files, and descriptive summaries of network size and map complexity.
The findings show that the sociogram redistributes cognitive and interactional work across participant, visual artefact, interviewer and interpreter through four linked mechanisms. First, the visible map supports memory offloading by keeping previously elicited alters available for inspection and iterative recall. Second, it enables comparative calibration: participants judge and revise the closeness of one relationship in relation to others. Third, spatial grouping makes perceived local structure feasible to elicit without a complete dyadic census. Fourth, interaction around the map makes parts of the reporting process visible. Hesitation, clarification, movement and decisions to omit a tie can be qualitatively probed, helping distinguish forgetting, boundary misunderstandings, taken-for-granted household relations, ethical withholding and uncertainty.
These gains do not produce a complete or objectively accurate network. The maps may privilege strong, salient and coherent ties; question-wise composition reduces repetition but sacrifices alter-level cross-classification; very large networks crowd the paper target; and a telephone interpreter cannot share the visual field. The protocol therefore supports claims about elicited network size, broad role composition, ordinal perceived closeness and salient perceived structure, but not total degree, valued ties or a complete adjacency matrix.
The paper contributes a replicable five-stage protocol, explicit conversion and reporting rules, and an implementation-based framework for evaluating participant-aided sociograms as measurement interventions as well as visual elicitation tools. It argues that, in high-constraint fieldwork, data quality depends not on maximising standardisation or detail in isolation, but on the documented fit among the research question, elicitation instrument and field encounter.
Gabriella D’Avino is a Marie Skłodowska-Curie Global Fellow at the University of Birmingham, hosted by the University of Technology Sydney. She leads UNPACK-NET, a comparative project examining how social and institutional networks shape refugee education pathways in Australia and the United Kingdom. Her wider research focuses on refugee resettlement, sponsorship and integration, using qualitative, comparative and mixed-methods network approaches.