. do example.do . * nwcommands tutorial 13: testing hypotheses about networks . * Requires the core nwcommands. . . * 1. Is a statistic unusual for a network of this size and density? (CUG test) . nwwebuse florentine, nwclear . nwsummarize flomarriage -------------------------------------------------- Network name: flomarriage Network id: 2 Directed: false Valued: false Two-mode: false Nodes: 16 Selfloop: false Edges: 20 Minimum value: 0 Maximum value: 1 Density: .167 Temporal: false . nwcug flomarriage, stat(nwtriads ##net##) rname(transitivity) reps(500) seed(12345) ---------------------------------------- Network: flomarriage Statistic: nwtriads ##net##/r(transitivity) Observed: .191 Null mean (sd): .149 (.082) Reps: 500 p (upper tail): .317 p (lower tail): .697 p (two-sided): .635 ---------------------------------------- . nwcug flomarriage, stat(nwcomponents ##net##, generate(cc) replace silent) rname(components) reps( > 500) seed(12345) ---------------------------------------- Network: flomarriage Statistic: nwcomponents ##net##, generate(cc) replace silent/r(components) Observed: 2 Null mean (sd): 1.986 (.812) Reps: 500 p (upper tail): .707 p (lower tail): .762 p (two-sided): 1 ---------------------------------------- . . * 2. Is one network related to another? (QAP correlation) . nwwebuse glasgow, nwclear . nwcorrelate glasgow1 glasgow2 ---------------------------------------- Network1 name: glasgow1 Network2 name: glasgow2 ---------------------------------------- Correlation: .473 . nwcorrelate glasgow1 glasgow2, permutations(500) ---------------------------------------- Network1 name: glasgow1 Network2 name: glasgow2 ---------------------------------------- Correlation: .473 P-value: .004 . . * 3. Does a covariate explain ties? (QAP regression) . nwqap glasgow2 glasgow1 smoke1 sport1 Multiple Regression Quadratic Assignment Procedure Estimation = QAP Regression = logit Permutations = 500 Number of vertices = 50 Number of arcs = 116 ------------------------------------------------- glasgow2 | Coef. P-value -----------------------+------------------------- glasgow1 | 3.653 .002 same_smoke1 | .514 .044 same_sport1 | .217 .345 _cons | -4.125 ------------------------------------------------- . . * 4. The CUG test again, holding every family's number of marriages fixed . nwwebuse florentine, nwclear . nwcug flomarriage, stat(nwtriads ##net##) rname(transitivity) condition(degrees) reps(500) seed(12 > 345) ---------------------------------------- Network: flomarriage Statistic: nwtriads ##net##/r(transitivity) Observed: .191 Null mean (sd): .16 (.08) Reps: 500 p (upper tail): .481 p (lower tail): .798 p (two-sided): .962 ---------------------------------------- .