Integrate SNA and Qualitative Interviews
Use a joint display to connect structural patterns with participants' meanings, disconfirming cases, and relation-specific explanations.
Method sources
By the end of this tutorial
- 1Define mixed-method social network analysis from an explicit node, tie, boundary, direction, weight, and observation-window specification.
- 2Apply and audit this procedure: Analyze the network first without naming individuals, sample maximum-variation and disconfirming cases, conduct relation-focused interviews, code mechanisms and exceptions, and build a joint display linking metrics, visuals, quotations, and revised interpretations.
- 3Interpret the result with a sensitivity check and the following evidence boundary: Interviews do not merely decorate a graph and centrality does not define a person's experience; integration must preserve contradictions and avoid selecting only cases that confirm the map.
SNA
Network specification
Analysis scenario
A graduate program sees two apparent brokers and several peripheral students in an advice network and wants to understand whether those positions mean access, overload, avoidance, or missing data.
Nodes
All consenting graduate students in the whole-network survey and a purposively sampled subset for follow-up interviews.
Ties
Directed nominations of substantive research advice during the semester, paired with interview accounts of when, why, and with what consequence advice was sought.
Network type
One-mode directed advice network integrated with purposive qualitative cases selected from several structural positions.
Step-by-step tutorial
Freeze the relational question
Write the decision the analysis must inform, then lock the eligible node roster, tie-generating event, direction, weight, self-tie rule, observation window, and missing-data code. Preserve a read-only source copy and record why this specification represents the stated question.
Checkpoint
A second analyst can reconstruct the same node set and edge table from the written rules without guessing what an absent record means.
Compute the focal structure
Work on a versioned analysis copy and carry out the focal method exactly as specified: Analyze the network first without naming individuals, sample maximum-variation and disconfirming cases, conduct relation-focused interviews, code mechanisms and exceptions, and build a joint display linking metrics, visuals, quotations, and revised interpretations. Save software and package versions, every threshold, normalization, seed, and intermediate count needed to reproduce the result.
Checkpoint
The output is tied to one named data version and includes the denominator, parameter settings, and a reproducible calculation record.
Run a structural sensitivity check
Repeat the analysis under at least one defensible alternative boundary, missingness rule, tie threshold, weight transformation, or model setting. Compare membership and substantive conclusions, not only a single coefficient, and investigate every change large enough to alter a decision.
Checkpoint
The audit states which patterns persist, which actors or groups change classification, and which conclusion depends on an analyst choice.
Report for responsible action
Pair the numerical result with a table or structure-preserving visual, document excluded and missing actors, and explain uncertainty in plain language. Convert the finding into a reversible support question, not an automatic ranking, while stating this boundary: Interviews do not merely decorate a graph and centrality does not define a person's experience; integration must preserve contradictions and avoid selecting only cases that confirm the map.
Checkpoint
The final note contains the question, specification, result, sensitivity evidence, uncertainty, privacy controls, and a proportionate next step.
Interpret with care
mixed-method social network analysis describes a property of the specified relation and network boundary. It does not transfer automatically to another relation, time period, class, platform, or population.
Interviews do not merely decorate a graph and centrality does not define a person's experience; integration must preserve contradictions and avoid selecting only cases that confirm the map. Compare the result with raw counts, missingness, plausible alternative specifications, and contextual evidence before acting.