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CONNECTIONS - INSNA

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<strong>CONNECTIONS</strong><br />

Configurations of Homophily<br />

These results offer support to prior findings on the<br />

relative importance of dimensions. Relations that<br />

were homophilous on only four dimensions<br />

typically exceeded baseline levels, however race<br />

was a consistent exception. For kin and group<br />

member relations notably, configurations did not<br />

exceed baseline levels unless they contained<br />

similarity on race. It was necessary to combine<br />

similarity on race with other dimensions for dyad<br />

frequency to exceed chance levels, pointing to the<br />

influential role of race in structuring relations.<br />

Friends and coworkers were the exception to this<br />

tendency as race dissimilar relations exceeded<br />

baseline rates, but only when similarity on all<br />

other dimensions was present.<br />

Interesting patterns were found across the<br />

different types of role relations. All kin relations<br />

that exceeded the baseline level included<br />

similarity on both race and religion. However,<br />

greater age dissimilarity was seen in kin versus<br />

nonkin relations, with half of the kin<br />

configurations exceeding baseline levels<br />

exhibiting age dissimilarity. This is a function of<br />

the substructure of families, where most members<br />

are similar on race and religion, though with<br />

greater variability in age, sex, and education. By<br />

contrast, in nonkin relations, religion was less<br />

important, and race was just as important though<br />

in a different way. Most nonkin relations that<br />

exceeded the baseline level included similarity on<br />

both age and race, combined with homophily on a<br />

third dimension. That third dimension varied by<br />

role; with group members, religion accompanied<br />

age and race as homophilous dimensions; with<br />

friends and coworkers greater variety existed.<br />

Note that for no type of nonkin relation did a<br />

configuration with dissimilarity on race and<br />

another dimension or age and another dimension<br />

exceed the baseline level. Relations with race or<br />

age dissimilarity combined with another<br />

dimension were too different to exceed the<br />

baseline level.<br />

Across all relation types, ten of the thirty-two<br />

configurations exceeded baseline levels.<br />

Examining results by substructural foci reveals<br />

their effect on the development of intergroup<br />

relations. The greatest diversity in homophily<br />

configurations was seen in coworker relations,<br />

where eight different configurations exceeded<br />

baseline levels. In contrast, only six<br />

configurations of homophily exceeding baseline<br />

levels for group relations. This is an indicator of<br />

higher levels of homogeneity in voluntary<br />

association relations. In addition, though the<br />

pattern of homophily differs for kin relations, they<br />

were just as homogeneous as groups, with only<br />

six configurations exceeding the baseline level.<br />

These results are consistent with Marsden’s study<br />

of network diversity (1990).<br />

One limitation of this research was the treatment<br />

of homophily and configurations as present or<br />

absent. The current approach introduced a<br />

technique to visualize the pattern of<br />

configurations using lattices, though at the<br />

expense of measurement precision. One could<br />

extend this research by using fuzzy set<br />

measurement techniques (where homophily could<br />

be measured continuously from 0 to 1). Such an<br />

approach could capture gradations in homophily,<br />

whereby two individuals are not identical, but not<br />

completely dissimilar. Subsequently,<br />

configuration frequency could also be measured<br />

using fuzzy set techniques, which could<br />

incorporate measures of relationship closeness<br />

including strength, duration, time spent together,<br />

and multiplexity. Measuring the outcome as a<br />

fuzzy set may provide insight to those instances<br />

where configuration frequency exceeds baseline<br />

levels even though dissimilarity on multiple<br />

dimensions exists. Perhaps those relationships are<br />

not as close as those with greater levels of<br />

homophily. Either approach would build on the<br />

insights gleaned from this research.<br />

In addition, this research treated relations as the<br />

unit of analysis without regard for the social<br />

positions of the individuals. Prior research has<br />

demonstrated how network characteristics vary<br />

according to social position (Fischer, 1982; Ibarra,<br />

1995; Marsden, 1987; Moore, 1990). Further<br />

research on the multidimensionality of homophily<br />

should consider variation across social positions.<br />

If network heterogeneity is associated with social<br />

mobility as suggested by Blau (1977) and social<br />

capital as Lin suggests (2001) then examining the<br />

coincidence of homophily across multiple<br />

dimensions by social position can provide clearer<br />

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