Distinguish Degree from Weighted Strength
Separate the number of partners from the volume or intensity of interaction, then test whether a weighted conclusion survives defensible transformations.
Method sources
By the end of this tutorial
- 1Define degree and weighted strength from an explicit node, tie, boundary, direction, weight, and observation-window specification.
- 2Apply and audit this procedure: Calculate in-degree and out-degree from the binary edge table, calculate incoming and outgoing strength from event weights, inspect their joint distribution, and repeat after capping extreme weights.
- 3Interpret the result with a sensitivity check and the following evidence boundary: More partners and more recorded exchanges are different constructs; neither measure establishes advice quality, learning, influence, or causal benefit.
SNA
Network specification
Analysis scenario
A seminar coordinator wants to compare students who exchange project advice with many classmates against students who repeatedly consult a smaller set of partners during six weeks.
Nodes
All enrolled seminar students on the frozen six-week roster, including students with zero recorded advice exchanges.
Ties
A directed advice event from the student seeking help to the classmate who responded, weighted by the number of qualifying exchanges.
Network type
One-mode, directed, weighted whole network with retained isolates, no self-ties, a six-week window, and missing observers coded as unknown.
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: Calculate in-degree and out-degree from the binary edge table, calculate incoming and outgoing strength from event weights, inspect their joint distribution, and repeat after capping extreme weights. 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: More partners and more recorded exchanges are different constructs; neither measure establishes advice quality, learning, influence, or causal benefit.
Checkpoint
The final note contains the question, specification, result, sensitivity evidence, uncertainty, privacy controls, and a proportionate next step.
Interpret with care
degree and weighted strength describes a property of the specified relation and network boundary. It does not transfer automatically to another relation, time period, class, platform, or population.
More partners and more recorded exchanges are different constructs; neither measure establishes advice quality, learning, influence, or causal benefit. Compare the result with raw counts, missingness, plausible alternative specifications, and contextual evidence before acting.