title: Gender differences in predicting loneliness from social network characteristics.
abstract: In two studies we examined gender differences in predicting loneliness from measures of social network structure and a measure of perceived social support. The results showed that social network characteristics, especially density, were consistently better predictors of perceived loneliness for men than for women. Study 1 used the traditional measure of network density in which the number of relationships among network members was determined. Study 2 used a newly developed index of density that assessed the extent of closeness of relationships between pairs of network members. Uniformly, male subjects with more highly interconnected, cohesive sets of friends reported themselves to be less lonely, whereas density had little relation to loneliness in female subjects. These results are discussed as possibly indicating that men and women use different standards in evaluating whether they are lonely. It is suggested that men may use more group-oriented criteria in evaluating loneliness, whereas women focus more on the qualities of dyadic relationships.
mesh_terms: D000328:Adult; D005260:Female; D005783:Gender Identity; D006801:Humans; D007062:Identification, Psychological; D007398:Interpersonal Relations; D008132:Loneliness; D008297:Male; D012931:Social Environment; D012933:Social Identification; D012934:Social Isolation; D012944:Social Support